Titles Starting with s
* S-AdaBoost and Pattern Detection in Complex Environment
* S-Band Doppler Wave Radar System
* S-BLOSUM: Classification of 2D Shapes with Biological Sequence Alignment
* S-CNN-Based Ship Detection from High-Resolution Remote Sensing Images
* S-CNN: Subcategory-Aware Convolutional Networks for Object Detection
* S-cone discrimination in the presence of two adapting fields: data and model
* S-FINCH: An Optimized Streaming Adaptation to FINCH Clustering
* S-Hock dataset: A new benchmark for spectator crowd analysis, The
* S-HOCK dataset: Analyzing crowds at the stadium, The
* S-Kernel and a Symmetry Measure Based on Correlation, The
* S-kernel: A measure of symmetry of objects, The
* s-LWSR: Super Lightweight Super-Resolution Network
* S-MDP: Streaming With Markov Decision Processes
* S-NPP VIIRS Day-Night Band On-Orbit Calibration/Characterization and Current State of SDR Products, The
* S-NPP VIIRS Day Night Band On-Board Solar Diffuser Calibration Validation Using the Scheduled Lunar Collections
* S-NPP VIIRS Lunar Calibrations over 10 Years in Reflective Solar Bands (RSB)
* S-NPP VIIRS On-Orbit Calibration Coefficient Improvements With Yaw Maneuver Reanalysis
* S-NPP VIIRS Thermal Emissive Bands 10-Year On-Orbit Calibration and Performance
* S-RVoG Model Inversion Based on Time-Frequency Optimization for P-Band Polarimetric SAR Interferometry
* s-SBIR: Style Augmented Sketch based Image Retrieval
* S-Tools for Windows
* S-transform using a new window to improve frequency and time resolutions, The
* S-TREE Self-Organizing Trees for Data Clustering and Online Vector Quantization
* S-VoteNet: Deep Hough Voting with Spherical Proposal for 3D Object Detection
* S-VVAD: Visual Voice Activity Detection by Motion Segmentation
* S 2 Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-supervised Learning
* S&CNet: A lightweight network for fast and accurate depth completion
* S.O.M. based algorithm for video surveillance system parameter optimal selection, A
* S/W Based Frame-Level Synchronization for Irregular Screen Processing System
* S^3 Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection
* S^3FD: Single Shot Scale-Invariant Face Detector
* S_3: A Spectral and Spatial Measure of Local Perceived Sharpness in Natural Images
* S+-Trees: An Efficient Structure for the Representation of Large Pictures
* S2-aware network for visual recognition
* S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
* S2-LOR: Supervised Stream Learning for Object Recognition
* S2-MLP: Spatial-Shift MLP Architecture for Vision
* S2-PCM: Super-Resolution Structural Point Cloud Matching for High-Accuracy Video-SAR Image Registration
* S2-VER: Semi-supervised Visual Emotion Recognition
* S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis
* S2D2Net: An Improved Approach for Robust Steel Surface Defects Diagnosis With Small Sample Learning
* S2dnas: Transforming Static Cnn Model for Dynamic Inference via Neural Architecture Search
* S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching
* S2eteS: An End-to-End Modeling Tool for the Simulation of Sentinel-2 Image Products
* S2F: Slow-to-Fast Interpolator Flow
* S2F2: Self-Supervised High Fidelity Face Reconstruction from Monocular Image
* S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction
* S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation
* S2GAN: Share Aging Factors Across Ages and Share Aging Trends Among Individuals
* S2I-Bird: Sound-to-Image Generation of Bird Species using Generative Adversarial Networks
* S2LD: Semi-Supervised Landmark Detection in Low Resolution Images and Impact on Face Verification
* S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
* S2ml-tl Framework for Multi-label Food Recognition
* S2N: Suppression-Strengthen Network for Event-Based Recognition Under Variant Illuminations
* S2Net: Stochastic Sequential Pointcloud Forecasting
* S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation
* S2R-tree: a pivot-based indexing structure for semantic-aware spatial keyword search
* S3-MKL: Scalable Semi-Supervised Multiple Kernel Learning for Real-World Image Applications
* S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation
* S3 Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
* S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation
* S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling
* S3ANet: Spectral-spatial-scale attention network for end-to-end precise crop classification based on UAV-borne H2 imagery
* S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning
* S3CCA: Smoothly Structured Sparse CCA for Partial Pattern Matching
* S3D: Scalable Pedestrian Detection via Score Scale Surface Discrimination
* S3D: Stacking Segmental P3D for Action Quality Assessment
* S3DRGF: Spatial 3-D Relational Geometric Features for 3-D Sign Language Representation and Recognition
* S3MPC: Improvement on Inland Water Tracking and Water Level Monitoring from the OLTC Onboard Sentinel-3 Altimeters
* S3Net: A Single Stream Structure for Depth Guided Image Relighting
* S3Pool: Pooling with Stochastic Spatial Sampling
* S3Reg: Superfast Spherical Surface Registration Based on Deep Learning
* S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
* S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
* S4L: Self-Supervised Semi-Supervised Learning
* S4Net: Single Stage Salient-Instance Segmentation
* S6: Semi-Supervised Self-Supervised Semantic Segmentation
* SA-BiSeNet: Swap attention bilateral segmentation network for real-time inland waterways segmentation
* SA-CenterNet: Scale Adaptive CenterNet for X-RAY Luggage Image Detection
* SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
* SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection
* SA-DPNet: Structure-aware dual pyramid network for salient object detection
* SA-GAN: A Second Order Attention Generator Adversarial Network with Region Aware Strategy for Real Satellite Images Super Resolution Reconstruction
* SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation
* SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
* SA-YOLOv3: An Efficient and Accurate Object Detector Using Self-Attention Mechanism for Autonomous Driving
* SAANet: Spatial adaptive alignment network for object detection in automatic driving
* Saarland University
* SaaS: Speed as a Supervisor for Semi-supervised Learning
* Sabanci University
* SABER: A Systems Approach to Blur Estimation and Reduction in X-Ray Imaging
* SaberNet: Self-attention based effective relation network for few-shot learning
* SABOS-Net: Self-supervised attention based network for automatic organ segmentation of head and neck CT images
* SAC-COT: Sample Consensus by Sampling Compatibility Triangles in Graphs for 3-D Point Cloud Registration
* SAC-D Aquarius A Satellite for Ocean, Climate and Environment: One Year of Data
* SAC-GAN: Face Image Inpainting with Spatial-aware Attribute Controllable Gan
* SAC-Net: Spatial Attenuation Context for Salient Object Detection
* SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval
* Saca Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relation Embedding
* Saccade and Pursuit on an Active Head Eye Platform
* Saccade gaze prediction using a recurrent neural network
* Saccade Information Based Directional Heat Map Generation for Gaze Data Visualization
* SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
* SaccadeNet: A Fast and Accurate Object Detector
* Saccadic Object Recognition With An Active Vision System
* Saccadic search with Gabor features applied to eye detection and real-time head tracking
* SACF-Net: Skip-Attention Based Correspondence Filtering Network for Point Cloud Registration
* SACNet: Shuffling atrous convolutional U-Net for medical image segmentation
* SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network
* SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam
* SaCoseg: Object Cosegmentation by Shape Conformability
* SACRE Project: A Diagnosis Tool of Built Heritage, The
* Saddle-node dynamics for edge-preserving and scale-space filtering
* Saddle Position-Based Method for Extraction of Depressions in Fengcong Areas by Using Digital Elevation Models
* Saddle: Fast and repeatable features with good coverage
* Saddlepoint Approximations for Correlation Testing Among Multiple Gaussian Random Vectors
* SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
* SADWT for Efficient Mesh Based Video Coding
* SAETA: A Smart Coaching Assistant for Professional Volleyball Training
* SAF-BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression
* SAF-Net: A spatio-temporal deep learning method for typhoon intensity prediction
* SAF-Nets: Shape-Adaptive Filter Networks for 3D point cloud processing
* SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification
* SAFA: Structure Aware Face Animation
* SAFDet: A Semi-Anchor-Free Detector for Effective Detection of Oriented Objects in Aerial Images
* Safe-Net: Solid and Abstract Feature Extraction Network for Pedestrian Attribute Recognition
* Safe-Passé: Dynamic Handoff Scheme for Provisioning Safety-as-a-Service in 5G-Enabled Intelligent Transportation System
* Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data
* Safe and Efficient Cooperative Platooning
* Safe and Efficient Lane Change Maneuver for Obstacle Avoidance Inspired From Human Driving Pattern
* Safe and Energy-Efficient Car-Following Control Strategy for Intelligent Electric Vehicles Considering Regenerative Braking
* Safe and Intelligent Knowledge Graph Construction Model Suitable for Smart Gridaper Title, A
* Safe and Sound: Driver Safety-Aware Vehicle Re-Routing Based on Spatiotemporal Information
* Safe Approximation Approach to Secrecy Outage Design for MIMO Wiretap Channels, A
* Safe Artificial Intelligence for Automated Driving
* Safe Classification with Augmented Features
* Safe Close-Proximity and Physical Human-Robot Interaction Using Industrial Robots
* Safe Contrastive Clustering
* Safe diagnosability of fuzzy discrete-event systems
* Safe Documentation of Historical Monuments by an Autonomous Unmanned Aerial Vehicle
* Safe Driving Using Mobile Phones
* Safe Fakes: Evaluating Face Anonymizers for Face Detectors
* Safe Fault Tolerant Multi-view Approach for Vision-Based Protective Devices, A
* Safe Feature Elimination Rule for L_1-Regularized Logistic Regression, A
* Safe Feature Screening for Generalized LASSO
* Safe Feature Screening Rule for Rank Lasso, A
* Safe incomplete label distribution learning
* Safe Landing Zones Detection for UAVs Using Deep Regression
* Safe Local Motion Planning with Self-Supervised Freespace Forecasting
* Safe Navigation and Evasive Maneuvers Based on Probabilistic Multi-Controller Architecture
* Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model
* Safe Optimization of Highway Traffic With Robust Model Predictive Control-Based Cooperative Adaptive Cruise Control
* Safe Reinforcement Learning for Autonomous Vehicle Using Monte Carlo Tree Search
* Safe Reinforcement Learning for Single Train Trajectory Optimization via Shield SARSA
* Safe Route Carpooling to Avoid Accident Locations and Small-Scale Proof of Concept in Japan
* Safe Route Determination for First Responders in the Presence of Moving Obstacles
* Safe Route Mapping of Roadways Using Multiple Sourced Data
* Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening
* safe sample screening rule for Laplacian twin parametric-margin support vector machine, A
* Safe Self-Refinement for Transformer-based Domain Adaptation
* Safe Transitions From Automated to Manual Driving Using Driver Controllability Estimation
* Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach
* SAFE: Scale Aware Feature Encoder for Scene Text Recognition
* SafeDrive: A New Model for Driving Risk Analysis Based on Crash Avoidance
* SAFEE On-Board Threat Detection System, The
* Safely Caching HOG Pyramid Feature Levels, to Speed up Facial Landmark Detection
* SafeNet: SwArm for Earthquake Perturbations Identification Using Deep Learning Networks
* SafePredict: A Meta-Algorithm for Machine Learning That Uses Refusals to Guarantee Correctness
* SafeSO: Interpretable and Explainable Deep Learning Approach for Seat Occupancy Classification in Vehicle Interior
* Safest Nearby Neighbor Queries in Road Networks
* Safety-Assured Model-Driven Design of the Multifunction Vehicle Bus Controller
* Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
* Safety-Aware Real-Time Air Traffic Flow Management Model Under Demand and Capacity Uncertainties, A
* Safety-Compliant Generative Adversarial Networks for Human Trajectory Forecasting
* Safety-Critical and Flexible Cooperative On-Ramp Merging Control of Connected and Automated Vehicles in Mixed Traffic
* Safety-Guaranteed and Development Cost- Minimized Scheduling of DAG Functionality in an Automotive System
* Safety Assessment of a UAV CD&R System in High Density Airspace Using Monte Carlo Simulations
* Safety assessment of local cooperative warnings and speed limit information
* Safety assessment of vehicle behaviour based on the improved D-S evidence theory
* Safety Assured Online Guidance With Airborne Separation for Urban Air Mobility Operations in Uncertain Environments
* Safety Benefits of Forward Collision Warning, Brake Assist, and Autonomous Braking Systems in Rear-End Collisions
* Safety effect analysis of motorcycle V2I collision warning system
* Safety Flight Control Design of a Quadrotor UAV With Capability Analysis
* Safety guaranteed longitudinal motion control for connected and autonomous vehicles in a lane-changing scenario
* Safety impact of cooperative adaptive cruise control vehicles' degradation under spatial continuous communication interruption
* Safety Implications of Variability in Autonomous Driving Assist Alerting
* Safety in numbers: Learning categories from few examples with multi model knowledge transfer
* Safety in Vehicle Platooning: A Systematic Literature Review
* Safety monitor for train-centric CBTC system
* Safety Monitoring By Means of Sensor Networks Distributed Within The Fossa Site Plan
* Safety Performance Boundary Identification of Highly Automated Vehicles: A Surrogate Model-Based Gradient Descent Searching Approach
* Safety Performance Evaluation for Civil Aviation Maintenance Department
* Safety Project: Sentinel-1 Based Tools for Geohazards Monitoring And Management
* Safety Quantification of Intersections Using Computer Vision Techniques
* Safety Tunnel-Based Model Predictive Path-Planning Controller With Potential Functions for Emergency Navigation
* Safety Verification Methods for Human-Driven Vehicles at Traffic Intersections: Optimal Driver-Adaptive Supervisory Control
* Safety, Complexity, and Automated Driving: Holistic Perspectives on Safety Assurance
* Safety, Security, and Reliability of Autonomous Vehicle Software
* SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
* SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data
* SAFF-SSD: Self-Attention Combined Feature Fusion-Based SSD for Small Object Detection in Remote Sensing
* Saffire: System for Autonomous Feature Filtering and Intelligent ROI Estimation
* SAFFNet: Self-Attention-Based Feature Fusion Network for Remote Sensing Few-Shot Scene Classification
* SAFFO: A SIFT based approach for digital anastylosis for fresco reconstruction
* SAFNet: A Semi-Anchor-Free Network With Enhanced Feature Pyramid for Object Detection
* SAGA: Stochastic Whole-Body Grasping with Contact
* SAGAN: Skip-Attention GAN for Anomaly Detection
* SaGCN: Semantic-Aware Graph Calibration Network for Temporal Sentence Grounding
* SAGE: An approach and implementation empowering quick and reliable quantitative analysis of segmentation quality
* SAGE: Sequential Attribute Generator for Analyzing Glioblastomas Using Limited Dataset
* SAGEM Morpho
* SAGENT: a novel technique for document modeling for secure access and distribution
* SAGN: Semantic-Aware Graph Network for Remote Sensing Scene Classification
* SAGRNN: Self-Attentive Gated RNN For Binaural Speaker Separation With Interaural Cue Preservation
* SaHAN: Scale-Aware Hierarchical Attention Network for Scene Text Recognition
* SAHARA: A Simplified AtmospHeric Correction AlgoRithm for Chinese gAofen Data: 1. Aerosol Algorithm
* SAHF: Unsupervised Texture-Based Multiscale with Multicolor Method for Retinal Vessel Delineation
* SAHRIS: using the South African Heritage Register to report, track and monitor heritage crime
* SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data
* SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation: A Synthetic Dataset and Baselines
* SAIL: A Deep-Learning-Based System for Automatic Gait Assessment From TUG Videos
* SaIL: A Spatial Index Library for Efficient Application Integration
* Sailboat Detection Based on Automated Search Attention Mechanism and Deep Learning Models
* SAILenv: Learning in Virtual Visual Environments Made Simple
* SAILOR: Scaling Anchors via Insights into Latent Object Representation
* Saint Petersburg 3D: Creating a Large-Scale Hybrid Mobile LiDAR Point Cloud Dataset for Geospatial Applications
* SAINT Self-Adaptive Interactive Navigation Tool for Emergency Service Delivery Optimization
* SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis
* SAir-IIoT Cyber Testbed as a Service: A Novel Cybertwins Architecture in IIoT-Based Smart Airports, The
* SAL: Selection and Attention Losses for Weakly Supervised Semantic Segmentation
* SAL: Sign Agnostic Learning of Shapes From Raw Data
* SALAD: Self-Assessment Learning for Action Detection
* SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection
* SALE: Self-adaptive LSH encoding for multi-instance learning
* SalED: Saliency prediction with a pithy encoder-decoder architecture sensing local and global information
* SalFBNet: Learning pseudo-saliency distribution via feedback convolutional networks
* SalGaze: Personalizing Gaze Estimation using Visual Saliency
* SALIC: Social Active Learning for Image Classification
* SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks
* SALICON: Saliency in Context
* Salience-Based Parabolic Structuring Functions
* Salience-Guided Cascaded Suppression Network for Person Re-Identification
* Salience-Guided Iterative Asymmetric Mutual Hashing for Fast Person Re-Identification
* Salience-Preserving Image Composition with Luminance Consistency
* Salience based hierarchical fuzzy representation for object recognition
* Salience computation in images based on perceptual distinctness
* Salience Distance Transforms
* Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display
* Salience Guided Pooling in Deep Convolutional Networks
* Salience Indicators for Landmark Extraction at Large Spatial Scales Based on Spatial Analysis Methods
* Salience measure for assessing scale-based features in mammograms
* Salience Preserving Image Fusion with Dynamic Range Compression
* Saliencies and Symmetries: Toward 3D Object Recognition from Large Model Databases
* Saliency-Associated Object Tracking
* Saliency-Aware Convolution Neural Network for Ship Detection in Surveillance Video
* Saliency-aware geodesic video object segmentation
* Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment
* Saliency-Aware Video Compression
* Saliency-Aware Video Object Segmentation
* saliency-based approach to event recognition, A
* Saliency-based automatic target detection in forward looking infrared images
* Saliency-based change detection for aerial and remote sensing imageries
* Saliency-Based Color Accessibility
* Saliency-based content-aware lifestyle image mosaics
* Saliency-Based Convolutional Neural Network for Table and Chart Detection in Digitized Documents, A
* Saliency-based dark channel prior model for single image haze removal
* Saliency-based dense trajectories for action recognition using low-rank matrix decomposition
* Saliency-Based Detection for Maritime Object Tracking
* Saliency-based discriminant tracking
* Saliency-Based Endmember Detection for Hyperspectral Imagery
* saliency-based hierarchy for local symmetries, A
* Saliency-Based Image Object Indexing and Retrieval
* Saliency-Based Keypoint Reduction for Augmented-Reality Applications in Smart Cities
* Saliency-based keypoint selection for fast object detection and matching
* Saliency-based multi-feature modeling for semantic image retrieval
* Saliency-Based Obstacle Detection and Ground-Plane Estimation for Off-Road Vehicles
* Saliency-Based Person Re-identification by Probability Histogram
* Saliency-Based Robust Correlation for Real-time Face Registration and Verification
* Saliency-Based Search Mechanism for Overt and Covert Shifts of Visual Attention
* Saliency-Based Selection of Gradient Vector Flow Paths for Content Aware Image Resizing
* Saliency-based selection of sparse descriptors for action recognition
* Saliency-based superpixels
* Saliency-based Technique for Advertisement Layout Optimisation to Predict Customers' Behaviour, A
* Saliency-Based Visual Representation for Compression
* Saliency-cognizant robust view synthesis in free viewpoint video streaming
* Saliency-context two-stream convnets for action recognition
* Saliency-directed color image interpolation using artificial neural network and particle swarm optimization
* Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks
* Saliency-driven image classification method based on histogram mining and image score
* Saliency-driven scaling optimization for image retargeting
* Saliency-Driven Variational Retargeting for Historical Maps
* Saliency-enhanced image aesthetics class prediction
* Saliency-Guided Attention Network for Image-Sentence Matching
* Saliency-Guided Color-to-Gray Conversion Using Region-Based Optimization
* Saliency-Guided Color Transfer between Images
* Saliency-guided compressive sensing approach to efficient laser range measurement
* Saliency-Guided Consistent Color Harmonization
* Saliency-Guided Deep Framework for Image Quality Assessment
* Saliency-Guided Deep Neural Networks for SAR Image Change Detection
* Saliency-Guided Image Translation
* Saliency-guided integration of multiple scans
* Saliency-Guided Just Noticeable Distortion Estimation Using the Normalized Laplacian Pyramid
* Saliency-guided level set model for automatic object segmentation
* Saliency-Guided Lighting
* Saliency-Guided Object Candidates Based on Gestalt Principles
* Saliency-guided object proposal for refined salient region detection
* Saliency-guided Pairwise Matching
* Saliency-guided projection geometric correction using a projector-camera system
* Saliency-Guided Quality Assessment of Screen Content Images
* Saliency-Guided Remote Sensing Image Super-Resolution
* Saliency-guided selective magnification for company logo detection
* Saliency-Guided Single Shot Multibox Detector for Target Detection in SAR Images
* Saliency-Guided Stereo Camera Control for Comfortable VR Explorations
* saliency-guided street view image inpainting framework for efficient last-meters wayfinding, A
* Saliency-Guided Textured Contact Lens-Aware Iris Recognition
* Saliency-Guided Transformer Network combined with Local Embedding for No-Reference Image Quality Assessment
* Saliency-Guided Unsupervised Feature Learning for Scene Classification
* saliency-modulated just-noticeable-distortion model with non-linear saliency modulation functions, A
* Saliency-seeded localizing region-based active contour for automatic natural object segmentation
* Saliency-weighted graphs for efficient visual content description and their applications in real-time image retrieval systems
* saliency-weighted orthogonal regression-based similarity measure for entropic graphs, A
* Saliency Aggregation: A Data-Driven Approach
* Saliency Aggregation: Does Unity Make Strength?
* Saliency Analysis and Gaussian Mixture Model-Based Detail Extraction Algorithm for Hyperspectral Pansharpening
* Saliency analysis and region-of-interest extraction for satellite images by biological sparse modeling
* Saliency analysis and region of interest detection via orientation information and contrast feature in remote sensing images
* Saliency Analysis via Hyperparameter Sparse Representation and Energy Distribution Optimization for Remote Sensing Images
* Saliency and Gist Features for Target Detection in Satellite Images
* Saliency and Granularity: Discovering Temporal Coherence for Video-Based Person Re-Identification
* Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics
* Saliency and KAZE features assisted object segmentation
* Saliency and Segregation Without Feature Gradient: New Insights for Segmentation from Orientation-Defined Textures
* Saliency and semantic processing: Extracting forest cover from historical topographic maps
* Saliency bagging: a novel framework for robust salient object detection
* Saliency Based Aesthetic Cut of Digital Images
* Saliency Based Image Cropping
* Saliency based joint topic discovery for object categorization
* Saliency based objective quality assessment of decoded video affected by packet losses
* Saliency Based on Decorrelation and Distinctiveness of Local Responses
* Saliency Based on Multi-scale Ratio of Dissimilarity
* Saliency Based Opportunistic Search for Object Part Extraction and Labeling
* Saliency based Subject Selection for Diverse Image Captioning
* Saliency Based Ulcer Detection for Wireless Capsule Endoscopy Diagnosis
* Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics
* Saliency Change Based Reduced Reference Image Quality Assessment
* Saliency Computational Model for Foggy Images by Fusing Frequency and Spatial Cues
* Saliency Cut in Stereo Images
* Saliency cuts based on adaptive triple thresholding
* Saliency Cuts: An automatic approach to object segmentation
* Saliency Density and Edge Response Based Salient Object Detection
* Saliency Density Maximization for Efficient Visual Objects Discovery
* Saliency Density Maximization for Object Detection and Localization
* Saliency Detection and Object Localization in Indoor Environments
* Saliency Detection and Partitioning Planar Curves
* Saliency detection based on an edge-preserving filter
* Saliency detection based on background seeds by object proposals and extended random walk
* Saliency detection based on directional patches extraction and principal local color contrast
* Saliency Detection Based on Frequency and Spatial Domain Analyses
* Saliency Detection Based on Heuristic Rules
* Saliency detection based on integration of boundary and soft-segmentation
* Saliency Detection Based on Multiscale Extrema of Local Perceptual Color Differences
* Saliency detection based on proto-objects and topic model
* Saliency detection based on short-term sparse representation
* Saliency detection based on singular value decomposition
* Saliency Detection by Adaptive Channel Fusion
* Saliency detection by adaptive clustering
* Saliency detection by forward and backward cues in deep-CNN
* Saliency Detection by Fully Learning a Continuous Conditional Random Field
* Saliency detection by multi-context deep learning
* Saliency Detection by Multitask Sparsity Pursuit
* Saliency Detection for 3D Surface Geometry Using Semi-regular Meshes
* Saliency detection for content-aware image resizing
* Saliency detection for seismic applications using multi-dimensional spectral projections and directional comparisons
* Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion
* Saliency Detection for Stereoscopic Images
* Saliency Detection for Unconstrained Videos Using Superpixel-Level Graph and Spatiotemporal Propagation
* Saliency detection framework via linear neighbourhood propagation
* Saliency Detection in 360° Videos
* Saliency detection in complex scenes
* Saliency detection in computer rendered images based on object-level contrast
* Saliency Detection in Face Videos: A Data-Driven Approach
* Saliency detection in human crowd images of different density levels using attention mechanism
* Saliency Detection in Large Point Sets
* Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances
* Saliency Detection in the Compressed Domain for Adaptive Image Retargeting
* Saliency detection in video sequences using perceivable change encoded local pattern
* Saliency Detection Inspired by Topological Perception Theory
* Saliency detection integrating global and local information
* saliency detection model using aggregation degree of color and texture, A
* Saliency Detection Model Using Low-Level Features Based on Wavelet Transform, A
* Saliency detection of targets in polarimetric SAR images based on globally weighted perturbation filters
* Saliency Detection on Light Field
* Saliency detection using a background probability model
* Saliency detection using a deep conditional random field network
* Saliency detection using adaptive background template
* Saliency detection using adversarial learning networks
* Saliency Detection Using Color Spatial Variance Weighted Graph Model
* Saliency detection using contrast enhancement and texture smoothing operations
* Saliency Detection Using Deep Features and Affinity-Based Robust Background Subtraction
* Saliency Detection using Iterative Dynamic Guided Filtering
* Saliency detection using joint spatial-color constraint and multi-scale segmentation
* Saliency Detection Using Joint Temporal and Spatial Decorrelation
* Saliency detection using maximum symmetric surround
* Saliency detection using Multi-layer graph ranking and combined neural networks
* Saliency Detection Using Quaternion Sparse Reconstruction
* Saliency Detection using regression trees on hierarchical image segments
* Saliency detection using suitable variant of local and global consistency
* Saliency detection using superpixel belief propagation
* Saliency detection using two-stage scoring
* Saliency Detection via A Graph Based Diffusion Model
* Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking
* Saliency Detection via Absorbing Markov Chain With Learnt Transition Probability
* Saliency Detection via Absorbing Markov Chain
* Saliency detection via alternative optimization adaptive influence matrix model
* Saliency detection via background and foreground null space learning
* Saliency detection via bi-directional propagation
* Saliency detection via Boolean and foreground in a dynamic Bayesian framework
* Saliency detection via Cellular Automata
* Saliency detection via coarse-to-fine diffusion-based compactness with weighted learning affinity matrix
* Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs
* Saliency detection via cross-scale deep inference
* Saliency Detection via Dense and Sparse Reconstruction
* Saliency Detection via Depth-Induced Cellular Automata on Light Field
* Saliency detection via divergence analysis: A unified perspective
* Saliency Detection via Diversity-Induced Multi-view Matrix Decomposition
* Saliency detection via foreground rendering and background exclusion
* Saliency detection via global-object-seed-guided cellular automata
* Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss
* Saliency Detection via Graph-Based Manifold Ranking
* Saliency detection via local single Gaussian model
* Saliency detection via local structure propagation
* Saliency Detection via Multi-Scale Global Cues
* Saliency Detection via Nonlocal L_0 Minimization
* Saliency Detection Via Similar Image Retrieval
* Saliency detection via statistical non-redundancy
* Saliency Detection via Topological Feature Modulated Deep Learning
* Saliency Detection With a Three-Stage Hierarchical Network
* Saliency detection with color contrast based on boundary information and neighbors
* Saliency Detection with Flash and No-flash Image Pairs
* Saliency Detection with Multi-Scale Superpixels
* Saliency Detection with Recurrent Fully Convolutional Networks
* Saliency detection with relative location measure in light field image
* Saliency Detection With Spaces of Background-Based Distribution
* Saliency Detection: A Boolean Map Approach
* Saliency Detection: A Self-Adaption Sparse Representation Approach
* Saliency Detection: A Spectral Residual Approach
* Saliency Dispersion Measure for Improving Saliency-Based Image Quality Metrics, A
* Saliency Driven Image Manipulation
* Saliency Driven Nonlinear Diffusion Filtering for Object Recognition
* Saliency Driven Object recognition in egocentric videos with deep CNN: Toward application in assistance to Neuroprostheses
* Saliency Driven Perceptual Image Compression
* Saliency Driven Perceptual Quality Metric for Omnidirectional Visual Content
* Saliency driven region-edge-based top down level set evolution reveals the asynchronous focus in image segmentation
* Saliency driven total variation segmentation
* Saliency enabled compression in JPEG framework
* Saliency Enhanced Decolorization
* Saliency estimation using a non-parametric low-level vision model
* Saliency Filtering of SIFT Detectors: Application to CBIR
* Saliency filters: Contrast based filtering for salient region detection
* Saliency for fine-grained object recognition in domains with scarce training data
* Saliency for free: Saliency prediction as a side-effect of object recognition
* Saliency for image manipulation
* Saliency From Growing Neural Gas: Learning Pre-Attentional Structures for a Flexible Attention System
* Saliency from hierarchical adaptation through decorrelation and variance normalization
* Saliency fusion via sparse and double low rank decomposition
* saliency grouping field, The
* Saliency guided deep network for weakly-supervised image segmentation
* Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing
* Saliency Guided Experience Packing for Replay in Continual Learning
* Saliency guided fast interpolation for large displacement optical flow
* Saliency Guided Gradient Similarity for Fast Perceptual Blur Assessment
* Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation
* saliency guided remote sensing image dehazing network model, A
* Saliency Guided Subdivision for Single-View Mesh Reconstruction
* Saliency Heat-Map as Visual Attention for Autonomous Driving Using Generative Adversarial Network (GAN)
* Saliency Hierarchy Modeling via Generative Kernels for Salient Object Detection
* Saliency histogram equalisation and its application to image resizing
* Saliency in Crowd
* Saliency in images and video: a brief survey
* Saliency in Spectral Images
* Saliency Inside: Learning Attentive CNNs for Content-Based Image Retrieval
* Saliency integration driven by similar images
* Saliency Integration: An Arbitrator Model
* Saliency Map-Aided Generative Adversarial Network for RAW to RGB Mapping
* Saliency Map Based Data Augmentation
* Saliency map based image steganography
* Saliency map based improved segmentation
* saliency map based on sampling an image into random rectangular regions of interest, A
* Saliency Map Generation for SAR Images with Bayes Theory and Heterogeneous Clutter Model
* saliency map method with cortex-like mechanisms and sparse representation, A
* Saliency mapping enhanced by symmetry from local phase
* Saliency Maps and Attention Selection in Scale and Spatial Coordinates: An Information Theoretic Approach
* Saliency maps on image hierarchies
* Saliency model-based face segmentation and tracking in head-and-shoulder video sequences
* saliency model for automated tumor detection in breast ultrasound images, A
* Saliency Modeling from Image Histograms
* Saliency Modulated High Dynamic Range Image Tone Mapping
* Saliency moments for image categorization
* Saliency object detection: integrating reconstruction and prior
* Saliency of color image derivatives: A comparison between computational models and human perception
* Saliency of Interest Points under Scale Changes
* Saliency Optimization Based on Compactness and Background-Prior
* Saliency Optimization from Robust Background Detection
* Saliency Pattern Detection by Ranking Structured Trees
* Saliency prediction based on new deep multi-layer convolution neural network
* Saliency prediction by Mahalanobis distance of topological feature on deep color components
* Saliency Prediction for Mobile User Interfaces
* Saliency Prediction in the Deep Learning Era: Successes and Limitations
* saliency prediction model on 360 degree images using color dictionary based sparse representation, A
* Saliency Prediction on Omnidirectional Image With Generative Adversarial Imitation Learning
* Saliency Prediction on Omnidirectional Images with Brain-Like Shallow Neural Network
* Saliency Prediction on Stereoscopic Videos
* Saliency Prediction with Active Semantic Segmentation
* Saliency Prediction with External Knowledge
* Saliency Preservation in Low-Resolution Grayscale Images
* Saliency Prior Context Model for Real-Time Object Tracking, A
* Saliency prior context model for visual tracking
* Saliency propagation from simple to difficult
* Saliency propagation with perceptual cues and background-excluded seeds
* Saliency ranker: A new salient object detection method
* Saliency ranking for benthic survey using underwater images
* Saliency refinement: Towards a uniformly highlighted salient object
* Saliency Region Detection Based on Markov Absorption Probabilities
* Saliency retargeting: An approach to enhance image aesthetics
* Saliency Revisited: Analysis of Mouse Movements Versus Fixations
* Saliency Segmentation based on Learning and Graph Cut Refinement
* Saliency selection for robust visual tracking
* Saliency Sequential Surface Organization for Free-Form Object Recognition
* Saliency Tree: A Novel Saliency Detection Framework
* Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
* Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation
* Saliency Weighted Features for Person Re-identification
* Saliency weighted quality assessment of tone-mapped images
* Saliency, Scale and Image Description
* Saliency/non-saliency segregation in video sequences using perception-based local ternary pattern features
* Saliency4ASD: Challenge, dataset and tools for visual attention modeling for autism spectrum disorder
* salienShrink: Saliency-Based Wavelet Shrinkage
* Salient-region detection in a multi-level framework of image smoothing with over-segmentation
* Salient-SIFT for Image Retrieval
* Salient-to-Broad Transition for Video Person Re-identification
* Salient and Multiple Illusory Surfaces
* Salient and non-salient fiducial detection using a probabilistic graphical model
* Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing
* Salient Closed Boundary Extraction with Ratio Contour
* Salient coding for image classification
* Salient Color Names for Person Re-identification
* Salient Contour-Aware Based Twice Learning Strategy for Saliency Detection
* Salient Contour Detection using a Global Contour Discontinuity Measurement
* Salient covariance for near-duplicate image and video detection
* Salient Deconvolutional Networks
* Salient edge and region aware image retargeting
* Salient Edge Detection in Natural Images
* Salient edges combined with image structures for image deblurring
* Salient feature and reliable classifier selection for facial expression classification
* Salient feature based graph matching for person re-identification
* Salient Feature Extraction Algorithm for Speech Emotion Recognition, A
* Salient Feature of Haptic-Based Guidance of People in Low Visibility Environments Using Hard Reins
* Salient Feature Selection for CNN-Based Visual Place Recognition
* Salient Features for Moving Object Detection in Adverse Weather Conditions During Night Time
* Salient features useful for the accurate segmentation of masticatory muscles from minimum slices subsets of magnetic resonance images
* Salient level lines selection using the Mumford-Shah functional
* Salient Montages from Unconstrained Videos
* Salient Motion Detection in Compressed Domain
* Salient Motion Features for Video Quality Assessment
* Salient Motion Features for Visual Attention Models
* Salient object carving
* Salient object detection based on backbone enhanced network
* Salient Object Detection based on CNN Fusion of Two Types of Saliency Models
* Salient object detection based on compactness and foreground connectivity
* Salient object detection based on edge-interior feature fusion
* Salient object detection based on global multi-scale superpixel contrast
* Salient object detection based on global to local visual search guidance
* Salient object detection based on Laplacian similarity metrics
* Salient object detection based on meanshift filtering and fusion of colour information
* Salient object detection based on novel graph model
* Salient Object Detection Based on Progressively Supervised Learning for Remote Sensing Images
* Salient object detection based on super-pixel clustering and unified low-rank representation
* Salient Object Detection Based on Visual Perceptual Saturation and Two-Stream Hybrid Networks
* Salient Object Detection by Aggregating Contextual Information
* Salient object detection by composition
* Salient Object Detection by Contextual Refinement
* Salient Object Detection by Fusing Local and Global Contexts
* Salient object detection by multi-level features learning determined sparse reconstruction
* Salient Object Detection Driven by Fixation Prediction
* Salient object detection employing a local tree-structured low-rank representation and foreground consistency
* Salient object detection employing robust sparse representation and local consistency
* Salient Object Detection for Point Clouds
* Salient object detection for searched web images via global saliency
* salient object detection framework using linear quadratic regulator controller, A
* Salient object detection from distinctive features in low contrast images
* Salient object detection fusing global and local information based on nonsubsampled contourlet transform
* Salient object detection in complex scenes via D-S evidence theory based region classification
* Salient object detection in hyperspectral imagery
* Salient object detection in image sequences via spatial-temporal cue
* Salient Object Detection in Images by Combining Objectness Clues in the RGBD Space
* Salient object detection in SfM point cloud
* Salient Object Detection in Stereoscopic 3D Images Using a Deep Convolutional Residual Autoencoder
* Salient Object Detection in the Deep Learning Era: An In-Depth Survey
* Salient object detection in tracking shots
* Salient object detection in video using deep non-local neural networks
* Salient object detection network with multi-scale feature refinement and boundary feedback
* Salient object detection on a hierarchy of image partitions
* Salient Object Detection on Large-Scale Video Data
* Salient object detection using background subtraction, Gabor filters, objectness and minimum directional backgroundness
* Salient object detection using bipartite dictionary
* Salient Object Detection Using Cascaded Convolutional Neural Networks and Adversarial Learning
* Salient object detection using coarse-to-fine processing
* Salient Object Detection using concavity context
* Salient object detection using content-sensitive hypergraph representation and partitioning
* Salient Object Detection Using HOS Based L0 Smoothing and Shape-Aware Region Merging
* Salient object detection using local, global and high contrast graphs
* Salient object detection using normalized cut and geodesics
* Salient object detection using octonion with Bayesian inference
* Salient object detection using semantic segmentation technique
* Salient Object Detection Using Window Mask Transferring with Multi-layer Background Contrast
* Salient object detection via a boundary-guided graph structure
* Salient object detection via a linear feedback control system
* Salient object detection via a local and global method based on deep residual network
* Salient object detection via boosting object-level distinctiveness and saliency refinement
* Salient object detection via bootstrap learning
* Salient Object Detection via Color Contrast and Color Distribution
* Salient object detection via compactness and objectness cues
* Salient Object Detection via Deep Hierarchical Context Aggregation and Multi-Layer Supervision
* Salient Object Detection Via Deformed Smoothness Constraint
* Salient Object Detection via Double Random Walks with Dual Restarts
* Salient Object Detection via Dynamic Scale Routing
* Salient object detection via fast R-CNN and low-level cues
* Salient Object Detection via Fuzzy Theory and Object-Level Enhancement
* Salient object detection via global and local cues
* Salient object detection via hybrid upsampling and hybrid loss computing
* Salient object detection via images frequency domain analyzing
* Salient object detection via incorporating multiple manifold ranking
* Salient Object Detection via Integrity Learning
* Salient object detection via local saliency estimation and global homogeneity refinement
* Salient Object Detection via Multiple Instance Joint Re-Learning
* Salient Object Detection via Multiple Instance Learning
* Salient object detection via objectness measure
* Salient object detection via point-to-set metric learning
* Salient Object Detection via Random Forest
* Salient object detection via reciprocal function filter
* Salient Object Detection via Recursive Sparse Representation
* Salient object detection via reliability-based depth compactness and depth contrast
* Salient object detection via reliable boundary seeds and saliency refinement
* Salient Object Detection via Saliency Spread
* Salient object detection via sparse representation and multi-layer contour zooming
* Salient object detection via spectral graph weighted low rank matrix recovery
* Salient object detection via spectral matting
* Salient Object Detection via Structured Matrix Decomposition
* Salient object detection via two-stage absorbing Markov chain based on background and foreground
* Salient Object Detection via Two-Stage Graphs
* Salient Object Detection via Weighted Low Rank Matrix Recovery
* Salient object detection with adversarial training
* Salient Object Detection With Capsule-Based Conditional Generative Adversarial Network
* Salient Object Detection with CNNs and Multi-scale CRFs
* Salient object detection with high-level prior based on Bayesian fusion
* Salient Object Detection with Higher Order Potentials and Learning Affinity
* Salient object detection with image-level binary supervision
* Salient Object Detection With Lossless Feature Reflection and Weighted Structural Loss
* Salient object detection with low-rank approximation and l2,1-norm minimization
* Salient Object Detection with Pretrained Deeplab and k-means: Application to Uav-captured Building Imagery
* Salient Object Detection With Purificatory Mechanism and Structural Similarity Loss
* Salient Object Detection With Pyramid Attention and Salient Edges
* Salient Object Detection with Recurrent Fully Convolutional Networks
* Salient Object Detection With Spatiotemporal Background Priors for Video
* Salient Object Detection: A Benchmark
* Salient Object Detection: A Discriminative Regional Feature Integration Approach C
* Salient Object Detection: A Discriminative Regional Feature Integration Approach
* Salient object detection: From pixels to segments
* Salient Object Ranking with Position-Preserved Attention
* Salient object segmentation based on linearly combined affinity graphs
* Salient Object Segmentation from Stereoscopic Images
* Salient Object Segmentation via Effective Integration of Saliency and Objectness
* Salient Object Subitizing
* Salient Objects in Clutter
* Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground
* Salient Objects: Semantic Building Blocks for Image Concept Interpretation
* Salient Pattern Detection Using W2 on Multivariate Normal Distributions
* Salient Pixels and Dimensionality Reduction for Display of Multi/Hyperspectral Images
* Salient point characterization for low resolution meshes
* Salient Points for Content Based Retrieval
* Salient Region-Based Online Object Tracking
* Salient region detection and feature extraction in 3D visual data
* Salient Region Detection and Pattern Matching-Based Algorithm for Center Detection of a Partially Covered Tropical Cyclone in a SAR Image, A
* Salient Region Detection Based on Color Uniqueness and Color Spatial Distribution
* Salient Region Detection by Fusing Bottom-Up and Top-Down Features Extracted From a Single Image
* Salient Region Detection by Jointly Modeling Distinctness and Redundancy of Image Content
* Salient Region Detection by Modeling Distributions of Color and Orientation
* Salient Region Detection by UFO: Uniqueness, Focusness and Objectness
* Salient Region Detection Improved by Principle Component Analysis and Boundary Information
* Salient region detection through sparse reconstruction and graph-based ranking
* Salient region detection using background contrast
* Salient Region Detection Using Diffusion Process on a Two-Layer Sparse Graph
* Salient Region Detection Using Discriminative Feature Selection
* Salient region detection using feature extraction in the non-subsampled contourlet domain
* Salient region detection using local and global saliency
* Salient Region Detection Using Patch Level and Region Level Image Abstractions
* Salient region detection via color spatial distribution determined global contrasts
* Salient Region Detection via Discriminative Dictionary Learning and Joint Bayesian Inference
* Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support
* Salient Region Detection via High-Dimensional Color Transform
* Salient Region Detection via Integrating Diffusion-Based Compactness and Local Contrast
* Salient region detection via texture-suppressed background contrast
* Salient Region Detection with Multi-Feature Fusion and Edge Constraint
* Salient region detection with opponent color boosting
* Salient region detection: An integration approach based on image pyramid and region property
* Salient region extraction based on local extrema of natural images
* Salient Region Filtering for Background Subtraction
* Salient region growing based on Gaussian pyramid
* Salient Regions for Query by Image Content
* Salient Regions from Scale-Space Trees
* Salient Regions, Saliencey for Regions
* Salient Ship Detection via Background Prior and Foreground Constraint in Remote Sensing Images
* Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network
* Salient Stills
* Salient Structure Analysis for Fluid Flow
* Salient Subsequence Learning for Time Series Clustering
* Salient Target Detection Based on the Combination of Super-Pixel and Statistical Saliency Feature Analysis for Remote Sensing Images
* Salient target detection in hyperspectral image based on visual attention
* Salient traffic sign recognition based on sparse representation of visual perception
* Salient video cube guided nighttime vehicle braking event detection
* Salient video object detection using a virtual border and guided filter
* Salient Video Stills: Content and Context Preserved
* Salient view selection based on sparse representation
* Salient views and view-dependent dictionaries for object recognition
* SalientShape: group saliency in image collections
* Saline-Soil Deformation Extraction Based on an Improved Time-Series InSAR Approach
* Salinity Pilot-Mission Exploitation Platform (Pi-MEP): A Hub for Validation and Exploitation of Satellite Sea Surface Salinity Data, The
* Salinity Retrieval Algorithms for the NASA Aquarius Version 5 and SMAP Version 3 Releases, The
* SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection
* SALMNet: A Structure-Aware Lane Marking Detection Network
* SalNet360: Saliency maps for omni-directional images with CNN
* Salp swarm algorithm based on golden section and adaptive and its application in target tracking
* Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
* Salprop: Salient object proposals via aggregated edge cues
* SALSA Project: High-End Aerial 3D Camera, The
* SALSA: A Novel Dataset for Multimodal Group Behavior Analysis
* SALSA: A Simple Automatic Lung Segmentation Algorithm
* Salsanext: Fast, Uncertainty-aware Semantic Segmentation of Lidar Point Clouds
* SALSAS: Sub-linear active learning strategy with approximate k-NN search
* Salt-and-pepper denoising method for colour images based on tensor low-rank prior and implicit regularization
* Salt-and-pepper noise removal by adaptive median-based lifting filter using second-generation wavelets
* Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
* Salt-and-Pepper Noise Removal via Local Hölder Seminorm and Nonlocal Operator for Natural and Texture Image
* salt and pepper noise fast filtering algorithm for grayscale images based on neighborhood correlation detection, A
* Salt and Pepper Noise Removal by Adaptive Median Filter and Minimal Surface Inpainting
* Salt and Pepper Noise Removal from Document Images
* Salt and pepper noise removal in binary images using image block prior probabilities
* Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization
* Salt Constructs in Paleo-Lake Basins as High-Priority Astrobiology Targets
* Salt Content Distribution and Paleoclimatic Significance of the Lop Nur Ear Feature: Results from Analysis of EO-1 Hyperion Imagery
* Salt Marsh Elevation Limit Determined after Subsidence from Hydrologic Change and Hydrocarbon Extraction
* Salt Marsh Monitoring in Jamaica Bay, New York from 2003 to 2013: A Decade of Change from Restoration to Hurricane Sandy
* Salt Stockpile Inventory Management Using LiDAR Volumetric Measurements
* Saltation Activity on Non-Dust Days in the Taklimakan Desert, China
* SaltiNet: Scan-Path Prediction on 360 Degree Images Using Saliency Volumes
* Salvage of Supervision in Weakly Supervised Object Detection and Segmentation
* Salvage of Supervision in Weakly Supervised Object Detection
* SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas
* Salypath: A Deep-Based Architecture for Visual Attention Prediction
* Sam's Net: A Self-Augmented Multistage Deep-Learning Network for End-to-End Reconstruction of Limited Angle CT
* SAM-GAN: Supervised Learning-Based Aerial Image-to-Map Translation via Generative Adversarial Networks
* SAM-HIT: A Simulated Annealing Multispectral to Hyperspectral Imagery Data Transformation
* SAM-Net: LiDAR Depth Inpainting for 3D Static Map Generation
* SAM-Net: Semantic probabilistic and attention mechanisms of dynamic objects for self-supervised depth and camera pose estimation in visual odometry applications
* SAM: Modeling Scene, Object and Action With Semantics Attention Modules for Video Recognition
* SAM: Pushing the Limits of Saliency Prediction Models
* SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images
* SAM: Self Attention Mechanism for Scene Text Recognition Based on Swin Transformer
* SAM: The Sensitivity of Attribution Methods to Hyperparameters
* SAMANTHA: Structure-and-Motion Pipeline on a Hierarchical Cluster Tree
* SAMATS: Texture extraction explained
* Same-Object Problem for Polyhedral Solids, The
* Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance
* Same frame rate IR to enhance visible video conference lighting
* same is not the same: Postcorrection of alphabet confusion errors in mixed-alphabet OCR recognition, The
* Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
* Same Viewpoint Different Perspectives: A Comparison of Expert Ratings with a TLS Derived Forest Stand Structural Complexity Index
* SAMIRA-SAtellite Based Monitoring Initiative for Regional Air Quality
* SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset
* SAMM: A Spontaneous Micro-Facial Movement Dataset
* Sammon's nonlinear mapping using geodesic distances
* Sammons Mapping Using Neural Networks: A Comparison
* SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection
* SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction
* Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis
* Sample-aware Data Augmentor for Scene Text Recognition
* Sample-Based 3D Tracking of Colored Objects: A Flexible Architecture
* Sample-Based Forest Monitoring Strategy Using Landsat, AVHRR and MODIS Data to Estimate Gross Forest Cover Loss in Malaysia between 1990 and 2005, A
* Sample-Based Image Completion Using Structure Synthesis
* Sample-based regularization for support vector machine classification
* Sample-based Synthesis of Talking Heads
* Sample-based Weighted Prediction for lossless enhancement layer coding in SHVC
* Sample-Centric Feature Generation for Semi-Supervised Few-Shot Learning
* Sample-Dependent Distance for 1: N Identification via Discriminative Feature Selection
* Sample-Dependent Feature Selection for Faster Document Image Categorization
* Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search
* Sample-Efficient Optimization Using Bayesian Neural Networks
* Sample-free white-box out-of-distribution detection for deep learning
* Sample-Guided Progressive Image Coding
* sample-proxy dual triplet loss function for object re-identification, A
* Sample-size adaptive self-organization map for color images quantization
* Sample-Sort Simulated Annealing
* Sample-Specific Late Fusion for Visual Category Recognition
* Sample-Specific SVM Learning for Person Re-identification
* Sample adaptive color space transform for screen content video coding
* Sample adaptive offset filter hardware design for HEVC encoder
* Sample adaptive offset in AVS2 video standard
* Sample Adaptive Offset in the HEVC Standard
* Sample Adaptive Offset Optimization in HEVC
* Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering
* Sample and Pixel Weighting Strategies for Robust Incremental Visual Tracking
* Sample complexity of rank regression using pairwise comparisons
* Sample Complexity of Total Variation Minimization
* Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings
* Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition
* Sample Generation with Self-Attention Generative Adversarial Adaptation Network (SaGAAN) for Hyperspectral Image Classification
* Sample imbalance disease classification model based on association rule feature selection
* Sample Normalization Algorithm of Neural Network Based on Fuzzy Rough Set Theory
* Sample Plots Forestry Parameters Verification and Updating Using Airborne LiDAR Data
* Sample Pre-mapping Method Enhancing Boosting for Object Detection, A
* Sample reconstruction with deep autoencoder for one sample per person face recognition
* Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD)
* Sample Selection Approach with Number of False Predictions for Learning with Noisy Labels
* Sample selection for visual domain adaptation via sparse coding
* Sample Selection in Textured Images
* sample set perspective on the classification of hyperspectral image with weighted affine constraint, A
* Sample size estimation using the receiver operating characteristic curve
* Sample size for maximum-likelihood estimates of Gaussian model depending on dimensionality of pattern space
* Sample Size for Maximum Likelihood Estimates of Gaussian Model
* Sample Sufficiency and PCA Dimension for Statistical Shape Models
* Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition, The
* SampleBoost: Improving boosting performance by destabilizing weak learners based on weighted error analysis
* Sampled-Data Control for Connected Vehicles With Markovian Switching Topologies and Communication Delay
* Sampled-Data Cooperative Adaptive Cruise Control of Vehicles With Sensor Failures
* Sampled-Data H- Filtering for Robust Kinematics Estimation: Applications to Biomechanics-Based Cardiac Image Analysis
* Sampled medial loci and boundary differential geometry
* Sampled medial loci for 3D shape representation
* Sampled Trajectory Data-Driven Method of Cycle-Based Volume Estimation for Signalized Intersections by Hybridizing Shockwave Theory and Probability Distribution
* Sampled Weighted Min-Hashing for Large-Scale Topic Mining
* SampleNet: Differentiable Point Cloud Sampling
* Samples Classification Analysis Across DNN Layers with Fractal Curves
* Sampling-aware polar descriptors on the sphere
* sampling-based approach for efficient clustering in large datasets, A
* Sampling-Based Correlation Estimation for Distributed Source Coding Under Rate and Complexity Constraints
* Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data, A
* Sampling-Based Multiview Reconstruction without Correspondences for 3D Edges
* Sampling-Based Path Planning for High-Quality Aerial 3D Reconstruction of Urban Scenes
* Sampling-Based Path Planning for UAV Collision Avoidance
* Sampling-Based Robot Motion Planning
* Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
* Sampling-Resampling Based Bayesian Learning Approach for Object Tracking, A
* Sampling Agnostic Feature Representation for Long-Term Person Re-Identification
* Sampling Algebraic Varieties for Robust Camera Autocalibration
* Sampling Algorithm for Occlusion Robust Multi Target Detection, A
* Sampling and Aliasing Consequences of Quarter-Detector Offset Use in Helical CT
* Sampling and Ideal Reconstruction on the 3D Diamond Grid
* Sampling and interpolation of the plenoptic function
* Sampling and Ontologically Pooling Web Images for Visual Concept Learning
* Sampling and Processing of Color Signals
* Sampling and Re-Weighting: Towards Diverse Frame Aware Unsupervised Video Person Re-Identification
* Sampling and Reconstruction of Diffused Sparse Graph Signals From Successive Local Aggregations
* Sampling and Reconstruction of Multiband Signals in Multiresolution Subspaces Associated With the Fractional Wavelet Transform
* Sampling and Reconstruction of Sparse Signals in Fractional Fourier Domain
* Sampling and Reconstruction of Surfaces and Higher Dimensional Manifolds
* Sampling and Reconstruction of Time-Varying Imagery with Application in Video Systems, The
* Sampling and Reconstruction on a Diamond Grid and the Tetrahedral Digital Waveguide Mesh
* Sampling and Reconstruction with Adaptive Meshes
* Sampling and series expansion for linear canonical transform
* Sampling and Surface Reconstruction with Adaptive-Size Meshes
* Sampling approach for singular system computation of a radiation operator
* Sampling Approach to Ultra-fast Object Location, A
* Sampling approaches for applying DBSCAN to large datasets
* Sampling Based Approach to Line Scratch Removal from Motion Picture Frames, A
* Sampling based approximate spectral clustering ensemble for partitioning datasets
* Sampling bedrooms
* Sampling below the Nyquist density using spectral subtiles
* Sampling Bounds for 2-D Vector Field Tomography
* Sampling concerns in scanline algorithms
* Sampling Conditions for the Circular Radon Transform
* Sampling Considerations for Multilevel Crossing Analysis
* Sampling Criterion for Optimizing a Surface Light Field, A
* Sampling Density for Image Analysis
* Sampling expansion in function spaces associated with the linear canonical transform
* Sampling for Shape from Focus in Optical Microscopy
* Sampling for unsupervised domain adaptive object detection
* Sampling graphs from a probabilistic generative model
* Sampling High-Dimensional Gaussian Distributions for General Linear Inverse Problems
* Sampling Less and Reconstructing More for Magnetic Resonance Imaging
* Sampling Matters in Deep Embedding Learning
* sampling method for processing contours drawn with an uncertain stroke order and number, A
* Sampling Minimal Subsets with Large Spans for Robust Estimation
* Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration
* Sampling of 3D Point Cloud Via Gershgorin Disc Alignment
* Sampling of bandlimited signals in the linear canonical transform domain
* Sampling of compact signals in offset linear canonical transform domains
* Sampling of Images for Efficient Model-Based Vision
* Sampling of Non-flat Morphology for Grey Value Images
* Sampling of Signals Bandlimited to a Disc in the Linear Canonical Transform Domain
* Sampling of Time-Resolved Full-Waveform LIDAR Signals at Sub-Nyquist Rates
* Sampling On Concentric Circles
* Sampling optimization for on-chip compressive video
* Sampling Optimization for Printer Characterization by Direct Search
* Sampling Optimization for Printer Characterization by Greedy Search
* Sampling Pattern Cube: A Representation and Evaluation Tool for Optical Capturing Systems, The
* Sampling pattern design algorithm for atomic force microscopy images
* Sampling Piecewise Convex Unmixing and Endmember Extraction
* Sampling piecewise smooth signals and its application to image up-sampling
* Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior
* Sampling Relevant Points for Surface Registration
* Sampling Representative Examples for Dimensionality Reduction and Recognition: Bumping LDA
* Sampling Robustness in Gradient Analysis of Urban Material Mixtures
* Sampling Shape Contours Using Optimization over a Geometric Graph
* Sampling Strategies for Bag-of-Features Image Classification
* Sampling strategies for performance improvement in cascaded face regression
* Sampling Strategies for Real-Time Action Recognition
* Sampling Strategies for Soil Property Mapping Using Multispectral Sentinel-2 and Hyperspectral EnMAP Satellite Data
* Sampling strategies for super-resolution in multi-slice MRI
* Sampling Strategies to Improve Passive Optical Remote Sensing of River Bathymetry
* Sampling Strategy for Detailed Urban Land Use Classification: A Systematic Analysis in Shenzhen
* Sampling Systems matched to the input image class
* Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain MRI
* Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects
* Sampling Techniques for Monte Carlo Matrix Multiplication with Applications to Image Processing
* Sampling the 2-D Radon transform
* Sampling the Disparity Space Image
* Sampling the Inverse Set of a Neuron
* Sampling the Synthetic World: Creating a Link Between Landscape Simulation and the Sensor Web
* Sampling Theorem Approach to Traffic Sensor Optimization, A
* Sampling Theorem for a 2D Surface, A
* Sampling Theorem for Deconvolution in Two Dimensions, A
* Sampling Theorem for Fractional Bandlimited Signals: A Self-Contained Proof. Application to Digital Holography
* Sampling Uncertainties of Long-Term REMOTE-Sensing Suspended Sediments Monitoring over China's Seas: Impacts of Cloud Coverage and Sediment Variations
* Sampling Wisely: Deep Image Embedding by Top-K Precision Optimization
* Sampling with level set for pigmented skin lesion segmentation
* Sampling, Resampling and Colour Constancy
* Sampling, synthesis, and input devices
* Sampson distance based joint estimation of multiple homographies with uncalibrated cameras
* SAMSLAM: Simulated Annealing Monocular SLAM
* Samsung Digital Media Solutions Lab
* San Carlo Dei Barnabiti: Restoration And Reinforcement of the Roofing Of A Florentine Baroque Masterpiece
* SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection
* SAN: Selective Alignment Network for Cross-Domain Pedestrian Detection
* Sanborn
* sanctuary of Punta Stilo at Kaulonia-Monasterace (Rc, Italy): preliminary results of the close range photogrammetric surveys 2012-2013, The
* Sand Dune Dynamics Exploiting a Fully Automatic Method Using Satellite SAR Data
* Sand Dust Image DAta
* Sand image replicating sand animation process
* Sand Ripple Characterization Using an Extended Synthetic Aperture Sonar Model and Parallel Sampling Method
* Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity
* Sandwich Cut: An Algorithm for Temporally-Coherent Video Bilayer Segmentation
* Sandwiched Image Compression: Wrapping Neural Networks Around A Standard Codec
* SANet-SI: A new Self-Attention-Network for Script Identification in scene images
* SANet: A Slice-Aware Network for Pulmonary Nodule Detection
* SANet: Scene Agnostic Network for Camera Localization
* SANet: Statistic Attention Network for Video-Based Person Re-Identification
* SANet: Structure-Aware Network for Visual Tracking
* SANI International Technology Advisors Inc.
* Sansevero Chapel, a Three-dimensional Point of View, The
* SAOCNN: Self-Attention and One-Class Neural Networks for Hyperspectral Anomaly Detection
* SAP: A robust approach to track objects in video streams with Snakes and Points
* SAPC: Application for Adapting Scanned Analogue Photographs to Use Them In Structure From Motion Technology
* SAPENet: Self-Attention based Prototype Enhancement Network for Few-shot Learning
* SAPIEN: A SimulAted Part-Based Interactive ENvironment
* SAPIENT: Enabling Real-Time Monitoring and Control in the Future Communication Infrastructure of Air Traffic Management
* SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining
* SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments
* SAPS: Self-Attentive Pathway Search for weakly-supervised action localization with background-action augmentation
* SAPSC: SignRecrypting authentication protocol using shareable clouds in VANET groups
* SAR-BagNet: An Ante-hoc Interpretable Recognition Model Based on Deep Network for SAR Image
* SAR-based Coastline Detection and Monitoring
* SAR-Based Estimation of Above-Ground Biomass and Its Changes in Tropical Forests of Kalimantan Using L- and C-Band
* SAR-Based Flood Monitoring for Flatland with Frequently Fluctuating Water Surfaces: Proposal for the Normalized Backscatter Amplitude Difference Index (NoBADI)
* SAR-Based Index for Landscape Changes in African Savannas, A
* SAR-Based Paired Echo Focusing and Suppression of Vibrating Targets
* SAR-Based Terrain Classification Using Weakly Supervised Hierarchical Markov Aspect Models
* SAR-Based Vibration Estimation Using the Discrete Fractional Fourier Transform
* SAR-Mode Altimetry Observations of Internal Solitary Waves in the Tropical Ocean Part 2: A Method of Detection
* SAR-NAS: Skeleton-based action recognition via neural architecture searching
* SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation
* SAR-PC: Edge Detection in SAR Images via an Advanced Phase Congruency Model
* SAR-SIFT: A SIFT-Like Algorithm for SAR Images
* SAR-to-Optical Image Translation and Cloud Removal Based on Conditional Generative Adversarial Networks: Literature Survey, Taxonomy, Evaluation Indicators, Limits and Future Directions
* SAR-to-Optical Image Translation Based on Conditional Generative Adversarial Networks: Optimization, Opportunities and Limits
* SAR-to-optical image translation based on improved CGAN
* SAR Altimeter Backscattered Waveform Model
* SAR Amplitude Probability Density Function Estimation Based on a Generalized Gaussian Model
* SAR analysis of wetland ecosystems: Effects of band frequency, polarization mode and acquisition dates
* SAR and ASCAT Tropical Cyclone Wind Speed Reconciliation
* SAR and Lidar Temporal Data Fusion Approaches to Boreal Wetland Ecosystem Monitoring
* SAR and Multi-Spectral Data Fusion for Local Climate Zone Classification with Multi-Branch Convolutional Neural Network
* SAR And Oblique Aerial Optical Image Fusion for Urban Area Image Segmentation
* SAR and Optical Data Applied to Early-Season Mapping of Integrated Crop-Livestock Systems Using Deep and Machine Learning Algorithms
* SAR and Optical Image Registration Based on Deep Learning with Co-Attention Matching Module
* SAR and Optical Image Registration Using Nonlinear Diffusion and Phase Congruency Structural Descriptor
* SAR and SPOT Image Registration Based on Mutual Information with Contrast Measure
* SAR ATR of Ground Vehicles Based on ESENet
* SAR ATR of Ground Vehicles Based on LM-BN-CNN
* SAR Automatic Target Recognition Based on Multiview Deep Learning Framework
* SAR Automatic Target Recognition Using a Roto-Translational Invariant Wavelet-Scattering Convolution Network
* SAR Backscatter and InSAR Coherence for Monitoring Wetland Extent, Flood Pulse and Vegetation: A Study of the Amazon Lowland
* SAR Based Sea Surface Complex Wind Fields Estimation: An Analysis over the Northern Adriatic Sea
* SAR Calibration Aided by Permanent Scatterers
* SAR change detection based on intensity and texture changes
* SAR Coherence in Detecting Fluvial Sediment Transport Events in Arid Environments
* SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds, A
* SAR Doppler Ambiguity Resolver Based on Entropy Minimization
* SAR Ground Moving Target Imaging Algorithm Based on Parametric and Dynamic Sparse Bayesian Learning
* SAR Ground Moving Target Imaging Based on a New Range Model Using a Modified Keystone Transform
* SAR Ground Moving Target Refocusing by Combining mRe³ Network and TVß-LSTM
* SAR Image-Despeckling Method Based on HOSVD Using Tensor Patches, A
* SAR Image Autofocus By Sharpness Optimization: A Theoretical Study
* SAR Image Automatic Target Recognition Method Based on the Scattering Parameter Gaussian Mixture Model, An
* SAR Image Categorization With Log Cumulants of the Fractional Fourier Transform Coefficients
* SAR Image Change Detection Based on Correlation Kernel and Multistage Extreme Learning Machine
* SAR image change detection based on deep denoising and CNN
* SAR Image Change Detection Based on Iterative Label-Information Composite Kernel Supervised by Anisotropic Texture
* SAR Image Classification Based on Immune Clonal Feature Selection
* SAR image classification based on multi-feature fusion decision convolutional neural network
* SAR image classification based on spiking neural network through spike-time dependent plasticity and gradient descent
* SAR Image Classification Using Fully Connected Conditional Random Fields Combined with Deep Learning and Superpixel Boundary Constraint
* SAR Image Classification Using Gated Channel Attention Based Convolutional Neural Network
* SAR Image Classification Using Greedy Hierarchical Learning With Unsupervised Stacked CAEs
* SAR Image Classification Using Markov Random Fields with Deep Learning
* SAR image classification using the InSar coherence for soil degradation cartography in the south of Tunisia
* SAR Image Classification via Deep Recurrent Encoding Neural Networks
* SAR image classification with non-stationary Multinomial Logistic mixture of amplitude and texture densities
* SAR image classification with normalized gamma process mixtures
* SAR Image Construction from Gapped Phase-history Data
* SAR image data compression using a tree-structured wavelet transform
* SAR Image De-Noising Based on Shift Invariant K-SVD and Guided Filter
* SAR image denoising based on multifractal feature analysis and TV regularisation
* SAR image denoising using homomorphic and shearlet transforms
* SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling
* SAR Image Denoising via Clustering-Based Principal Component Analysis
* SAR Image Denoising via Sparse Representation in Shearlet Domain Based on Continuous Cycle Spinning
* SAR Image Despeckling Based on Block-Matching and Noise-Referenced Deep Learning Method
* SAR Image Despeckling Based on Combination of Fractional-Order Total Variation and Nonlocal Low Rank Regularization
* SAR Image Despeckling Based on Local Homogeneous-Region Segmentation by Using Pixel-Relativity Measurement
* SAR Image Despeckling Based on Nonlocal Low-Rank Regularization
* SAR image despeckling by combination of fractional-order total variation and nonlocal low rank regularization
* SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End Training Strategy
* SAR Image Despeckling by Noisy Reference-Based Deep Learning Method
* SAR Image Despeckling by the Use of Variational Methods With Adaptive Nonlocal Functionals
* SAR Image Despeckling Employing a Recursive Deep CNN Prior
* SAR Image Despeckling Method Based on an Extended Adaptive Wiener Filter and Extended Guided Filter, A
* SAR Image Despeckling Method Based on Two-Dimensional S Transform Shrinkage, A
* SAR Image Despeckling Using a Convolutional Neural Network
* SAR image despeckling using deep CNN
* SAR image despeckling using heavy-tailed Burr distribution
* SAR image despeckling using undecimated directional filter banks and mean shift
* SAR Image Filtering Based on the Heavy-Tailed Rayleigh Model
* SAR image formation via inversion of radon transforms
* SAR Image Fusion Classification Based on the Decision-Level Combination of Multi-Band Information
* SAR image noise suppression of BEMD by the kernel principle component analysis
* SAR image processing using adaptive stack filter
* SAR image processing using artificial intelligence planning
* SAR image processing using probabilistic Winner-take-all learning and artificial neural networks
* SAR Image Quality Assessment and Indicators for Vessel and Oil Spill Detection
* SAR Image Quality Assessment: From Sample-Wise to Class-Wise
* SAR Image Recognition with Monogenic Scale Selection-Based Weighted Multi-task Joint Sparse Representation
* SAR Image Regularization With Fast Approximate Discrete Minimization
* SAR image segmentation algorithm based on Contourlet domain AFMRF model
* SAR Image segmentation based on convolutional-wavelet neural network and markov random field
* SAR Image Segmentation Based on Hierarchical Visual Semantic and Adaptive Neighborhood Multinomial Latent Model
* SAR Image Segmentation Based on Level Set Approach and G_A^0 Model
* SAR Image Segmentation by Efficient Fuzzy C-Means Framework with Adaptive Generalized Likelihood Ratio Nonlocal Spatial Information Embedded
* SAR Image Segmentation by Stochastic Complexity Minimization With a Nonparametric Noise Model
* SAR Image Segmentation Using Kernel Based Spatial FCM
* SAR Image Segmentation Using Level Sets and Region Competition under the GHGH Model
* SAR Image Segmentation Using Morphological Attribute Profiles
* SAR image segmentation using region growing and spectral cluster
* SAR Image Segmentation Using Region Smoothing and Label Correction
* SAR Image Segmentation with Active Contours and Level Sets
* SAR Image Segmentation With Renyi's Entropy
* SAR Image Simulation Based on Effective View and Ray Tracing
* SAR Image Simulation of Complex Target including Multiple Scattering
* SAR Image Speckle Filtering With Context Covariance Matrix Formulation and Similarity Test
* SAR Image Speckle Noise Suppression Based on DFB Hidden Markov Models Using Immune Clonal Selection Thresholding
* SAR Image Speckle Reduction Based on Nonconvex Hybrid Total Variation Model
* SAR Image Speckle Removal using Bamberger Pyramids
* SAR Image Super-Resolution Reconstruction Based on Full-Resolution Discrimination
* SAR Image Understanding: High-speed Target Detection and Site Model Based Exploitation
* SAR imagery change detection method for Land Border Monitoring
* SAR Imagery for Detecting Sea Surface Slicks: Performance Assessment of Polarization-Dependent Parameters
* SAR Images of Rooms and Buildings Based on FDTD Computer Models
* SAR Images Statistical Modeling and Classification Based on the Mixture of Alpha-Stable Distributions
* SAR Imaging Algorithms and Some Unconventional Applications: A unified mathematical overview
* SAR Imaging Degradation by Ionospheric Irregularities Based on TFTPCF Analysis
* SAR Imaging Distortions Induced by Topography: A Compact Analytical Formulation for Radiometric Calibration
* SAR Imaging of Fractal Surfaces
* SAR imaging using multidimensional continuous wavelet transform and applications to polarimetry and interferometry
* SAR Imaging via Modern 2-D Spectral Estimation Methods
* SAR interferogram filtering in the wavelet domain using a coherence map mask
* SAR Interferometric Baseline Refinement Based on Flat-Earth Phase without a Ground Control Point
* SAR Interferometric Model for Soil Moisture, A
* SAR Interferometric Technique for Scene Analysis
* SAR interferometry and statistical topography
* SAR Interferometry for Sinkhole Early Warning and Susceptibility Assessment along the Dead Sea, Israel
* SAR Interferometry on a Very Long Time Scale: A Study of the Interferometric Characteristics of Man-Made Features
* SAR Interferometry: A Novel Method for Enhancing Elevation Maps by Combining Interferometry with Shape-from-Shading
* SAR Interferometry: Issues, Techniques, Applications
* SAR Mode Altimetry Observations of Internal Solitary Waves in the Tropical Ocean Part 1: Case Studies
* SAR monitoring of progressive and seasonal ground deformation using the permanent scatterers technique
* SAR multi-target interactive motion recognition based on convolutional neural networks
* SAR Observation and Numerical Simulation of Mountain Lee Waves Near Kuril Islands Forced by an Extratropical Cyclone
* SAR Observation of Eddy-Induced Mode-2 Internal Solitary Waves in the South China Sea
* SAR Oil Spill Detection System through Random Forest Classifiers
* SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017
* SAR Parametric Super-Resolution Image Reconstruction Methods Based on ADMM and Deep Neural Network
* SAR Passband Problem: Analytical Model and Possible Practical Solutions, The
* SAR patch categorization using dual tree orientec wavelet transform and stacked autoencoder
* SAR patch scene categorization
* SAR Pixelwise Registration via Multiscale Coherent Point Drift With Iterative Residual Map Minimization
* SAR Polarimetric Signatures For Urban Targets: Polarimetric Signature Calculation And Visualization
* SAR Processing Without a Motion Measurement System
* SAR raw data compression by subband coding
* SAR Raw Data Simulation for Ocean Scenes Using Inverse Omega-K Algorithm
* SAR raw signal simulation for urban structures
* SAR Sea-Ice Image Analysis Based on Iterative Region Growing Using Semantics
* SAR Sea Ice Image Segmentation Based on Edge-preserving Watersheds
* SAR sea ice image segmentation using an edge-preserving region-based MRF
* SAR Sensor Trajectory Deviations: Fourier Domain Formulation and Extended Scene Simulation of Raw Signal
* SAR Sentinel 1 Imaging and Detection of Palaeo-Landscape Features in the Mediterranean Area
* SAR Ship-Iceberg Discrimination in Arctic Conditions Using Deep Learning
* SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
* SAR Ship Object Detection Algorithm Based on Feature Information Efficient Representation Network, An
* SAR Ship Target Detection for SSDv2 under Complex Backgrounds
* SAR Sidelobe Apodization Using the Kaiser Window
* SAR Simulation
* SAR Speckle Dependence on Ocean Surface Wind Field
* SAR Speckle Nonlocal Filtering With Statistical Modeling of Haar Wavelet Coefficients and Stochastic Distances
* SAR speckle reduction using wavelet denoising and markov random field modeling
* SAR Speckle Removal Using Hybrid Frequency Modulations
* SAR Target Classification Based on Deep Forest Model
* SAR Target Classification Based on Sample Spectral Regularization
* SAR Target Configuration Recognition via Two-Stage Sparse Structure Representation
* SAR Target Detection Based on Domain Adaptive Faster R-CNN with Small Training Data Size
* SAR Target Detection Based on Improved SSD with Saliency Map and Residual Network
* SAR Target Detection in Complex Scene Based on 2-D Singularity Power Spectrum Analysis
* SAR Target Recognition Based on Inception and Fully Convolutional Neural Network Combining Amplitude Domain Multiplicative Filtering Method
* SAR Target Recognition Based on Invariant Histograms and Deformable Template Matching
* SAR Target Recognition in Large Scene Images via Region-Based Convolutional Neural Networks
* SAR Target Recognition Using cGAN-Based SAR-to-Optical Image Translation
* SAR Target Recognition via Incremental Nonnegative Matrix Factorization
* SAR Target Recognition via Joint Sparse and Dense Representation of Monogenic Signal
* SAR Target Recognition via Local Sparse Representation of Multi-Manifold Regularized Low-Rank Approximation
* SAR Target Recognition via Supervised Discriminative Dictionary Learning and Sparse Representation of the SAR-HOG Feature
* SAR Tomography as an Add-On to PSI: Detection of Coherent Scatterers in the Presence of Phase Instabilities
* SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms
* SAR Tomography Based on Atomic Norm Minimization in Urban Areas
* SAR Tomography via Nonlinear Blind Scatterer Separation
* SAR
* SAR, Generation, Image Construction, Reconstruction
* SAR, InSAR, Surface Deformation with Persistent, Permanent Scatter
* SAR, Radar Altimetry
* SAR/EO Vehicular Activity Analysis System Guided by Temporal and Contextual Information
* SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning
* Sar2color: Learning Imaging Characteristics of SAR Images for SAR-to-Optical Transformation
* SAR2HEIGHT: Height Estimation from a Single SAR Image in Mountain Areas via Sparse Height and Proxyless Depth-Aware Penalty Neural Architecture Search for Unet
* SARAL's Full Mission Reprocessing: Improvement with the GDR-F Standard
* SARAL-AltiKa Wind and Significant Wave Height for Offshore Wind Energy Applications in the New England Region
* SARAT-a system for the recognition of Arabic printed text
* SARC3D: A New 3D Body Model for People Tracking and Re-identification
* SARCASTIC v2.0: High-Performance SAR Simulation for Next-Generation ATR Systems
* SARDH: A novel sharpening-aware reversible data hiding algorithm
* Sargassum Detection Using Machine Learning Models: A Case Study with the First 6 Months of GOCI-II Imagery
* SARIM: A gesture-based sound augmented reality interface for visiting museums
* sarMapper: A Real-Time Interactive SAR Tactical Mapper
* Sarnoff Research
* Sarod: Efficient End-To-End Object Detection on SAR Images With Reinforcement Learning
* SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network
* SARSense Campaign: Air- and Space-Borne C- and L-Band SAR for the Analysis of Soil and Plant Parameters in Agriculture, The
* Sasaki metrics for analysis of longitudinal data on manifolds
* SASCr3: A Real Time Hardware Coprocessor for Stereo Correspondence
* SASE: RGB-Depth Database for Human Head Pose Estimation
* SASHA: A Shift-Add Segmented Hybrid Approximated Multiplier for Image Processing
* SASI: A Generic Texture Descriptor for Image Retrieval
* SASI: a New Texture Descriptor for Content Based Image Retrieval
* SASIC: Stereo Image Compression with Latent Shifts and Stereo Attention
* SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
* SASO: Joint 3D semantic-instance segmentation via multi-scale semantic association and salient point clustering optimization
* SASSI: Super-Pixelated Adaptive Spatio-Spectral Imaging
* Sassy: A Language and Optimizing Compiler for Image Processing on Reconfigurable Computing Systems
* SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction
* SAT-based parser and completer for pictures specified by tiling, A
* SAT-CNN: A Small Neural Network for Object Recognition from Satellite Imagery
* Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Cameras
* SAT-Net: Self-Attention and Temporal Fusion for Facial Action Unit Detection
* SAT: 2D Semantics Assisted Training for 3D Visual Grounding
* SAT: Scale-Augmented Transformer for Person Search
* Sat: Self-Adaptive Training for Fashion Compatibility Prediction
* Sat2graph: Road Graph Extraction Through Graph-tensor Encoding
* Sat2Vid: Street-view Panoramic Video Synthesis from a Single Satellite Image
* SAT3D: Slot Attention Transformer for 3D Point Cloud Semantic Segmentation
* SATD-Based Intra Mode Decision for H.264/AVC Video Coding
* Satellite-Based Aerosol Classification for Capital Cities in Asia Using a Random Forest Model
* Satellite-Based Analysis of Spatiotemporal Wildfire Pattern in the Mongolian Plateau
* Satellite-Based Approach for Quantifying Terrestrial Water Cycle Intensity, A
* Satellite-Based Assessment of Grassland Conversion and Related Fire Disturbance in the Kenai Peninsula, Alaska
* Satellite-Based Assessment of the Distribution and Biomass of Submerged Aquatic Vegetation in the Optically Shallow Basin of Lake Biwa, A
* Satellite-Based Bathymetric Modeling Using a Wavelet Network Model
* Satellite-Based Climatology of Wind-Induced Surface Temperature Anomalies for the Antarctic, A
* Satellite-based Cloudiness and Solar Energy Potential in Texas and Surrounding Regions
* Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil
* Satellite-Based Determination of the Water Footprint of Carrots and Onions Grown in the Arid Climate of Saudi Arabia
* Satellite-Based Diagnosis and Numerical Verification of Ozone Formation Regimes over Nine Megacities in East Asia
* Satellite-Based Drought Impact Assessment on Rice Yield in Thailand with SIMRIW-RS
* Satellite-Based Estimation of Carbon Dioxide Budget in Tropical Peatland Ecosystems
* Satellite-Based Estimation of Roughness Length over Vegetated Surfaces and Its Utilization in WRF Simulations
* Satellite-Based Estimation of Soil Moisture Content in Croplands: A Case Study in Golestan Province, North of Iran
* Satellite-Based Estimation of the Influence of Land Use and Cover Change on the Surface Shortwave Radiation Budget in a Humid Basin
* Satellite-Based Evaluation of the Post-Fire Recovery Process from the Worst Forest Fire Case in South Korea
* Satellite-Based Evapotranspiration in Hydrological Model Calibration
* Satellite-Based Evidences to Improve Cropland Productivity on the High-Standard Farmland Project Regions in Henan Province, China
* Satellite-Based Flood Mapping through Bayesian Inference from a Sentinel-1 SAR Datacube
* Satellite-Based High-Resolution (1-km) Ambient PM2.5 Database for India over Two Decades (2000-2019): Applications for Air Quality Management, A
* Satellite-Based Human Settlement Datasets Inadequately Detect Refugee Settlements: A Critical Assessment at Thirty Refugee Settlements in Uganda
* Satellite-Based Identification and Characterization of Extreme Ice Features: Hummocks and Ice Islands
* Satellite-Based Inversion and Field Validation of Autotrophic and Heterotrophic Respiration in an Alpine Meadow on the Tibetan Plateau
* Satellite-based investigation of flood-affected rice cultivation areas in Chao Phraya River Delta, Thailand
* Satellite-Based Land Use Regression Model of Ambient NO2 with High Spatial Resolution in a Chinese City, A
* Satellite-based Mapping of Above-ground Blue Carbon Storage in Seagrass Habitat Within The Shallow Coastal Water
* Satellite-Based Mapping of Cultivated Area in Gash Delta Spate Irrigation System, Sudan
* Satellite-Based Mapping of Gold-Mining-Related Land-Cover Changes in the Magadan Region, Northeast Russia
* Satellite-Based Mapping of High-Resolution Ground-Level PM2.5 with VIIRS IP AOD in China through Spatially Neural Network Weighted Regression
* Satellite-based Measurements For Benchmarking Regional Irrigation Performance In Goulburn-murray Catchment
* Satellite-Based Method for Estimating the Spatial Distribution of Crop Evapotranspiration: Sensitivity to the Priestley-Taylor Coefficient
* Satellite-Based Method for National Winter Wheat Yield Estimating in China, A
* Satellite-Based Methodology for Purposes of Rescue Archaeology of Cultural Heritage Threatened by Dam Construction
* Satellite-Based Model for Simulating Ecosystem Respiration in the Tibetan and Inner Mongolian Grasslands, A
* Satellite-Based Models Need Improvements on Simulating Annual Gross Primary Productivity: A Comparison of Six Models for Regional Modeling of Deciduous Broadleaf Forests
* Satellite-Based Monitoring and Modeling of Ground Movements Caused by Water Rebound
* Satellite-Based Monitoring of Primary Production in a Mediterranean Islet Post Black Rat Eradication
* Satellite-Based Monitoring on Green-Up Date for Optimizing the Rest-Grazing Period in Xilin Gol Grassland
* Satellite-based multitemporal-change detection in urban environments
* Satellite-Based Observations Reveal Effects of Weather Variation on Rice Phenology
* Satellite-Based Observations Reveal the Altitude-Dependent Patterns of SIFyield and Its Sensitivity to Ambient Temperature in Tibetan Meadows
* Satellite-Based Operational Real-Time Drought Monitoring in the Transboundary Lancang-Mekong River Basin
* Satellite-Based Precipitation Datasets Evaluation Using Gauge Observation and Hydrological Modeling in a Typical Arid Land Watershed of Central Asia
* Satellite-Based Prediction of Arctic Sea Ice Concentration Using a Deep Neural Network with Multi-Model Ensemble
* Satellite-Based Probabilistic Assessment of Soil Moisture Using C-Band Quad-Polarized RISAT1 Data
* Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks
* Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia
* Satellite-Based Sea Ice Navigation for Prydz Bay, East Antarctica
* Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain, A
* Satellite-Based Spatiotemporal Trends of Canopy Urban Heat Islands and Associated Drivers in China's 32 Major Cities
* Satellite-Based Sunshine Duration Climate Data Record for Europe and Africa, A
* Satellite-Based Sunshine Duration for Europe
* Satellite-Based Surface Radiation Climatology Derived by Combining Climate Data Records and Near-Real-Time Data, A
* Satellite-Based Thermophysical Analysis of Volcaniclastic Deposits: A Terrestrial Analog for Mantled Lava Flows on Mars
* Satellite-Based Tool for Mapping Evaporation in Inland Water Bodies: Formulation, Application, and Operational Aspects, A
* Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data
* Satellite-Based Water Consumption Dynamics Monitoring in an Extremely Arid Area
* Satellite-Derived Aerosol Optical Depth Fusion Combining Active and Passive Remote Sensing Based on Bayesian Maximum Entropy
* Satellite-Derived Barrier Response and Recovery Following Natural and Anthropogenic Perturbations, Northern Chandeleur Islands, Louisiana
* Satellite-Derived Bathymetry for Improving Canadian Hydrographic Service Charts
* Satellite-Derived Bathymetry Mapping on Horseshoe Island, Antarctic Peninsula, with Open-Source Satellite Images: Evaluation of Atmospheric Correction Methods and Empirical Models
* Satellite-derived Bathymetry Using Convolutional Neural Networks And Multispectral Sentinel-2 Images
* Satellite-Derived Bathymetry with Sediment Classification Using ICESat-2 and Multispectral Imagery: Case Studies in the South China Sea and Australia
* Satellite-derived Bathymetry: Accuracy Assessment On Depths Derivation Algorithm for Shallow Water Area
* Satellite-Derived Bottom Depth for Optically Shallow Waters Based on Hydrolight Simulations
* Satellite-Derived Climatological Analysis of Urban Heat Island over Shanghai during 2000-2013, A
* Satellite-Derived Correlation of SO2, NO2, and Aerosol Optical Depth with Meteorological Conditions over East Asia from 2005 to 2015
* Satellite-Derived Estimation of Grassland Aboveground Biomass in the Three-River Headwaters Region of China during 1982-2018
* Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change: A Review
* Satellite-Derived Photic Depth on the Great Barrier Reef: Spatio-Temporal Patterns of Water Clarity
* Satellite-Derived Photosynthetically Available Radiation at the Coastal Arctic Seafloor
* Satellite-Derived PM2.5 Composition and Its Differential Effect on Children's Lung Function
* Satellite-derived sediment distribution mapping using ICESat-2 and SuperDove
* Satellite-Derived Spatiotemporal Variations in Evapotranspiration over Northeast China during 1982-2010
* Satellite-Derived Topography and Morphometry for VHR Coastal Habitat Mapping: The Pleiades-1 Tri-Stereo Enhancement
* Satellite-Derived Variation in Burned Area in China from 2001 to 2018 and Its Response to Climatic Factors
* Satellite-Link Attenuation Measurement Technique for Estimating Rainfall Accumulation
* Satellite-Observed Black Water Events off Southwest Florida: Implications for Coral Reef Health in the Florida Keys National Marine Sanctuary
* Satellite-Observed Energy Budget Change of Deforestation in Northeastern China and its Climate Implications
* Satellite-Observed Four-Dimensional Spatiotemporal Characteristics of Maritime Aerosol Types over the Coastal Waters of the Guangdong-Hong Kong-Macao Greater Bay Area and the Northern South China Sea
* Satellite-Observed Global Terrestrial Vegetation Production in Response to Water Availability
* Satellite-Observed Location of Stratocumulus Cloud-Top Heights in the Presence of Strong Inversions
* Satellite-Observed Multi-Scale Variability of Sea Surface Chlorophyll-a Concentration along the South Coast of the Sumatra-Java Islands
* Satellite-Observed Soil Moisture as an Indicator of Wildfire Risk
* Satellite-Observed Spatial and Temporal Sea Surface Temperature Trends of the Baltic Sea between 1982 and 2021
* Satellite-Observed Substantial Decrease in Multiyear Ice Area Export through the Fram Strait over the Last Decade, A
* Satellite-Observed Thermal Anomalies and Deformation Patterns Associated to the 2021, Central Crete Seismic Sequence
* Satellite-Observed Time and Length Scales of Global Sea Surface Salinity Variability: A Comparison of Three Satellite Missions
* Satellite-Observed Urbanization Characters in Shanghai, China: Aerosols, Urban Heat Island Effect, and Land-Atmosphere Interactions
* Satellite-Observed Variations and Trends in Carbon Monoxide over Asia and Their Sensitivities to Biomass Burning
* Satellite-USV System for Persistent Observation of Mesoscale Oceanographic Phenomena, A
* Satellite altimeters for detection of oceanic internal waves
* Satellite Altimetry and Tide Gauge Observed Teleconnections between Long-Term Sea Level Variability in the U.S. East Coast and the North Atlantic Ocean
* Satellite Altimetry for Ocean and Coastal Applications: A Review
* Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis
* Satellite and aerial image deconvolution using an EM method with complex wavelets
* Satellite and Ground-Based Sensors for the Urban Heat Island Analysis in the City of Rome
* Satellite and Ground Based Thermal Observation of the 2014 Effusive Eruption at Stromboli Volcano
* Satellite and Ground Observations of Snow Cover in Tibet during 2001-2015
* Satellite and Ground Remote Sensing Techniques to Trace the Hidden Growth of a Lava Flow Field: The 2014-2015 Effusive Eruption at Fogo Volcano (Cape Verde)
* Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review
* Satellite and In Situ Sampling Mismatches: Consequences for the Estimation of Satellite Sea Surface Salinity Uncertainties
* Satellite and Machine Learning Monitoring of Optically Inactive Water Quality Variability in a Tropical River
* Satellite and sUAS Multispectral Remote Sensing Analysis of Vegetation Response to Beaver Mimicry Restoration on Blacktail Creek, Southwest Montana
* Satellite ASTER Mineral Mapping the Provenance of the Loess Used by the Ming to Build their Earthen Great Wall
* Satellite Attitude Determination and Map Projection Based on Robust Image Matching
* Satellite Availability and Service Performance Evaluation for Next-Generation GNSS, RNSS and LEO Augmentation Constellation
* Satellite Based Education And Training In Remote Sensing And Geo-information: An E-learning Approach To Meet The Growing Demands In India
* Satellite Based Fraction of Absorbed Photosynthetically Active Radiation Is Congruent with Plant Diversity in India
* Satellite Based Mapping of Ground PM2.5 Concentration Using Generalized Additive Modeling
* Satellite camera image navigation
* Satellite Canopus-V Image Processing Technology Development For Cartography Purposes Based On Prelaunch Simulation
* Satellite Climate Data Records: Development, Applications, and Societal Benefits
* Satellite Clock Batch Estimation Accuracy Analysis and Its Impacts on PPP
* Satellite communications as a viable method for biometric record transfer in field biometric devices
* Satellite Constellation Reveals Crop Growth Patterns and Improves Mapping Accuracy of Cropping Practices for Subtropical Small-Scale Fields in Japan
* Satellite Cross-Talk Impact Analysis in Airborne Interferometric Global Navigation Satellite System-Reflectometry with the Microwave Interferometric Reflectometer
* Satellite Data to Improve the Knowledge of Geohazards in World Heritage Sites
* Satellite Derived Bathymetry Using Machine Learning and Multi-Temporal Satellite Images
* Satellite derived photogrammetric bathymetry
* Satellite Determination of Peatland Water Table Temporal Dynamics by Localizing Representative Pixels of A SWIR-Based Moisture Index
* Satellite Digital Elevation Model on the Heterogeneous OPENVISION Parallel Computer
* Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping Review
* Satellite Earth Observation for Essential Climate Variables Supporting Sustainable Development Goals: A Review on Applications
* Satellite Evidence for Divergent Forest Responses within Close Vicinity to Climate Fluctuations in a Complex Terrain
* Satellite Features for the Classification of Visually Similar Classes
* Satellite Fog Detection at Dawn and Dusk Based on the Deep Learning Algorithm under Terrain-Restriction
* Satellite Formation-Containment Control Emphasis on Collision Avoidance and Uncertainty Suppression
* Satellite Formation Flight Simulation Using Multi-Constellation GNSS and Applications to Ionospheric Remote Sensing
* Satellite Guidance And Control During Operative Optoelectronic Imagery For Disaster Management
* Satellite Image Analysis for Disaster and Crisis-Management Support
* Satellite Image Change Detection Using Disjoint Information and Local Dissimilarity Map
* Satellite Image Classification Approach By Using One Dimensional Discriminant Analysis, A
* Satellite Image Classification Using a Divergence-Based Fuzzy c-Means Algorithm
* Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
* Satellite Image Classification Using Cellular Automata
* Satellite image classification using Genetic Algorithm trained radial basis function neural network, application to the detection of flooded areas
* Satellite image collection modeling for large area hazard emergency response
* Satellite Image Deblurring Using Complex Wavelet Packets
* Satellite Image Deconvolution Using Complex Wavelet Packets
* Satellite Image for Cloud and Snow Recognition Based on Lightweight Feature Map Attention Network
* Satellite image fusion based on principal component analysis and high-pass filtering
* Satellite Image Multi-Frame Super Resolution Using 3D Wide-Activation Neural Networks
* Satellite Image Orientation
* Satellite Image Pansharpening Using a Hybrid Approach for Object-Based Image Analysis
* Satellite Image Positioning Method Based upon Aligning Surface Characteristics
* Satellite Image Processing for the Coarse-Scale Investigation of Sandy Coastal Areas
* Satellite Image Registration by Distributed Differential Evolution
* Satellite image registration for attitude estimation with a constrained polynomial model
* Satellite Image Restoration by Applying the Genetic Approach to the Wiener Deconvolution
* Satellite image restoration in the context of a spatially varying point spread function
* Satellite image segmentation using hybrid variable genetic algorithm
* Satellite Image Segmentation Using Wavelet Transforms Based on Color and Texture Features
* Satellite Image Super-Resolution via Multi-Scale Residual Deep Neural Network
* Satellite Image Time Series Analysis for Big Earth Observation Data
* Satellite image time series classification and analysis using an adapted graph labeling
* Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention
* Satellite Image Time Series Clustering via Time Adaptive Optimal Transport
* Satellite Image Time Series Decomposition Based on EEMD
* Satellite Image Understanding Through Synthetic Images
* satellite image watermarkig scheme based on perspective distance, A
* Satellite Imagery-Based Damage Assessment on Nineveh and Nebi Yunus Archaeological Site in Iraq
* Satellite Imagery-Based Identification of High-Risk Areas of Schistosome Intermediate Snail Hosts Spread after Flood
* Satellite Imagery-Based SERVES Soil Moisture for the Analysis of Soil Moisture Initialization Input Scale Effects on Physics-Based Distributed Watershed Hydrologic Modelling
* Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak?
* Satellite imagery based adaptive background models and shadow suppression
* Satellite Imagery Classification Using Shallow and Deep Learning Approaches
* Satellite Imagery for Monitoring and Mapping Soil Chromium Pollution in a Mine Waste Dump
* Satellite Imagery Multiscale Rapid Detection with Windowed Networks
* Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview
* Satellite images analysis for shadow detection and building height estimation
* Satellite Images and Gaussian Parameterization for an Extensive Analysis of Urban Heat Islands in Thailand
* Satellite Images for Monitoring Mangrove Cover Changes in a Fast Growing Economic Region in Southern Peninsular Malaysia
* Satellite Imaging Direction Angles Estimation Method Based on Rational Polynomial Coefficients
* Satellite Imaging Techniques for Ground Movement Monitoring of a Deep Pipeline Trench Backfilled with Recycled Materials
* Satellite Investigation of Semidiurnal Internal Tides in the Sulu-Sulawesi Seas
* Satellite Laser Altimetry Data-Supported High-Accuracy Mapping of GF-7 Stereo Images
* Satellite Leaf Area Index: Global Scale Analysis of the Tendencies Per Vegetation Type Over the Last 17 Years
* Satellite Measured Ionospheric Magnetic Field Variations over Natural Hazards Sites
* Satellite Microwave Retrieval of Total Precipitable Water Vapor and Surface Air Temperature Over Land From AMSR2
* Satellite Monitoring of Environmental Solar Ultraviolet A (UVA) Exposure and Irradiance: A Review of OMI and GOME-2
* Satellite Monitoring of Mass Changes and Ground Subsidence in Sudan's Oil Fields Using GRACE and Sentinel-1 Data
* Satellite Monitoring of Thermal Performance in Smart Urban Designs
* Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016
* Satellite Monitoring the Spatial-Temporal Dynamics of Desertification in Response to Climate Change and Human Activities across the Ordos Plateau, China
* Satellite Multi-Sensor Data Analysis of Unusually Strong Polar Lows over the Chukchi and Beaufort Seas in October 2017
* Satellite multi-sensor data analysis of urban surface temperatures and landcover
* Satellite Multi-Sensor Data Fusion for Soil Clay Mapping Based on the Spectral Index and Spectral Bands Approaches
* Satellite Multispectral and Hyperspectral Image De-Noising with Enhanced Adaptive Generalized Gaussian Distribution Threshold in the Wavelet Domain
* Satellite Navigation Signal Authentication in GNSS: A Survey on Technology Evolution, Status, and Perspective for BDS
* Satellite Network Transmission of Cooperative Relay Superimposed Signal Reconstructed in Spatial Dimension
* Satellite Objects Extraction and Classification Based on Similarity Measure
* Satellite Observation for Evaluating Cloud Properties of the Microphysical Schemes in Weather Research and Forecasting Simulation: A Case Study of the Mei-Yu Front Precipitation System
* Satellite Observation of the Long-Term Dynamics of Particulate Organic Carbon in the East China Sea Based on a Hybrid Algorithm
* Satellite Observational Evidence of Contrasting Changes in Northern Eurasian Wildfires from 2003 to 2020
* Satellite Observations of El Niño Impacts on Eurasian Spring Vegetation Greenness during the Period 1982-2015
* Satellite Observations of Fire Activity in Relation to Biophysical Forcing Effect of Land Surface Temperature in Mediterranean Climate
* Satellite Observations of PM2.5 Changes and Driving Factors Based Forecasting Over China 2000-2025
* Satellite Observations of Typhoon-Induced Sea Surface Temperature Variability in the Upwelling Region off Northeastern Taiwan
* Satellite Observations of Wind Farm Impacts on Nocturnal Land Surface Temperature in Iowa
* Satellite Observations of Wind Wake and Associated Oceanic Thermal Responses: A Case Study of Hainan Island Wind Wake
* Satellite observed response of fire dynamics to vegetation water content and weather conditions in Southeast Asia
* Satellite Observed Spatial and Temporal Variabilities of Particulate Organic Carbon in the East China Sea
* Satellite On-Board Change Detection via Auto-Associative Neural Networks
* Satellite Perspectives On Highland-Lowland Human Interaction in Ancient Syria
* Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
* Satellite Radar and Camera Time Series Reveal Transition from Aligned to Distributed Crater Arrangement during the 2021 Eruption of Cumbre Vieja, La Palma (Spain)
* Satellite radar reveals land subsidence over coal mines
* Satellite Rainfall (TRMM 3B42-V7) Performance Assessment and Adjustment over Pahang River Basin, Malaysia
* Satellite Regional Cloud Climatology over the Great Lakes
* Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China
* Satellite Remote Sensing Analysis of the Qasrawet Archaeological Site in North Sinai
* Satellite Remote Sensing and Non-Destructive Testing Methods for Transport Infrastructure Monitoring: Advances, Challenges and Perspectives
* Satellite Remote Sensing for the Analysis of the Micia and Germisara Archaeological Sites
* Satellite Remote Sensing Identification of Discolored Standing Trees for Pine Wilt Disease Based on Semi-Supervised Deep Learning
* Satellite Remote Sensing in Seismology. A Review
* Satellite Remote Sensing Missions for Monitoring Water, Carbon, and Global Climate Change
* Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards
* Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate
* Satellite Remote Sensing of Snow Depth on Antarctic Sea Ice: An Inter-Comparison of Two Empirical Approaches
* Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives
* Satellite Remote Sensing of the Greenland Ice Sheet Ablation Zone: A Review
* Satellite Remote Sensing of Water Quality Variation in a Semi-Enclosed Bay (Yueqing Bay) under Strong Anthropogenic Impact
* Satellite Remote Sensing Signatures of the Major Baltic Inflows
* Satellite Remote Sensing: A New Tool for Archaeology
* Satellite Retrieval of Air Pollution Changes in Central and Eastern China during COVID-19 Lockdown Based on a Machine Learning Model
* Satellite Retrieval of Downwelling Shortwave Surface Flux and Diffuse Fraction under All Sky Conditions in the Framework of the LSA SAF Program (Part 1: Methodology)
* Satellite Retrieval of Downwelling Shortwave Surface Flux and Diffuse Fraction under All Sky Conditions in the Framework of the LSA SAF Program (Part 2: Evaluation)
* Satellite Retrieval of Microwave Land Surface Emissivity under Clear and Cloudy Skies in China Using Observations from AMSR-E and MODIS
* Satellite Retrieval of Surface Water Nutrients in the Coastal Regions of the East China Sea
* Satellite Retrievals of Karenia brevis Harmful Algal Blooms in the West Florida Shelf Using Neural Networks and Comparisons with Other Techniques
* Satellite SAR geocoding with refined RPC model
* Satellite SAR Interferometry and On-Site Traditional SHM to Monitor the Post-Earthquake Behavior of the Civic Tower in L'Aquila (Abruzzo Region, Italy)
* Satellite Sea Surface Temperature Product Comparison for the Southern African Marine Region
* Satellite Sensed Data-Dose Response Functions: A Totally New Approach for Estimating Materials' Deterioration from Space
* Satellite Sensor Image Classification Using Cascaded Architecture of Neural Fuzzy Network
* Satellite Soil Moisture Data Reconstruction in the Temporal and Spatial Domains: Latent Error Assessments and Performances for Tracing Rainstorms and Droughts
* Satellite Soil Moisture for Agricultural Drought Monitoring: Assessment of SMAP-Derived Soil Water Deficit Index in Xiang River Basin, China
* Satellite Solar-Induced Chlorophyll Fluorescence Reveals Heat Stress Impacts on Wheat Yield in India
* Satellite sounding channel optimization in the microwave spectrum
* Satellite SST-Based Coral Disease Outbreak Predictions for the Hawaiian Archipelago
* Satellite Survey of Inner Seas: Oil Pollution in the Black and Caspian Seas
* Satellite Survey of Internal Waves in the Black and Caspian Seas
* Satellite Survey of Offshore Oil Seep Sites in the Caspian Sea
* Satellite Time Series and Google Earth Engine Democratize the Process of Forest-Recovery Monitoring over Large Areas
* Satellite Tracks Removal in Astronomical Images
* Satellite Video Super-Resolution Based on Adaptively Spatiotemporal Neighbors and Nonlocal Similarity Regularization
* Satellite Video Tracking by Multi-Feature Correlation Filters with Motion Estimation
* Satellite View of an Intense Snowfall in Madrid (Spain): The Storm Filomena in January 2021, A
* Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil
* SATGAN: Augmenting Age Biased Dataset for Cross-Age Face Recognition
* SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification
* Satisficing Game Approach to Collaborative Decision Making Including Airport Management
* Satisfied-User-Ratio Modeling for Compressed Video
* SATMAC: Self-Adaptive TDMA-Based MAC Protocol for VANETs
* SATNet: A Spatial Attention Based Network for Hyperspectral Image Classification
* SATS: Self-attention transfer for continual semantic segmentation
* SATS: Structure-Aware Touch-Based Scrolling
* SaTSeaD: Satellite Triangulated Sea Depth Open-Source Bathymetry Module for NASA Ames Stereo Pipeline
* SatTel: A Framework for Commercial Satellite Imagery Exploitation
* Saturated independent color coordinates for image alignment
* Saturated Light Correction Method for DMSP/OLS Nighttime Satellite Imagery, A
* Saturated Region Recovery in Tone-Mapped HDR Images
* Saturation-based adaptive inverse gradient interpolation for Bayer pattern images
* Saturation-Based Multi-Exposure Image Fusion Employing Local Color Correction
* Saturation-preserving specular reflection separation
* Saturation Based Iterative Approach for Single Image Dehazing
* Saturation Correction for Nighttime Lights Data Based on the Relative NDVI
* Saturation, Hue, and Normalized Color: Calculation, Digitization Effects, and Use
* SAU: Smooth Activation Function Using Convolution with Approximate Identities
* SAUM: Symmetry-aware Upsampling Module for Consistent Point Cloud Completion
* SAVAM, Visual Salience Dataset
* Savannah woody structure modelling and mapping using multi-frequency (X-, C- and L-band) Synthetic Aperture Radar data
* SAVE: A framework for semantic annotation of visual events
* SAVE: Efficient Privacy-Preserving Location-Based Service Bundle Authentication in Self-Organizing Vehicular Social Networks
* SAVE: Spatial-Attention Visual Exploration
* SAVERS: A Simulator of GNSS Reflections From Bare and Vegetated Soils
* SAVI: an actively controlled teleconferencing system
* SAVIC: A Simulation, Visualization, and Interactive Control Environment for Mobile Robots
* Saving Energy and Improving Service Quality: Bicriteria Train Scheduling in Urban Rail Transit Systems
* Saving Energy in Video Servers by the Use of Multispeed Disks
* Savitzky-Golay Filtering Perspective of Dynamic Feature Computation, A
* Savoir faire et faire savoir: what I learned about innovation while I thought I was doing a Ph.D.
* Say As You Wish: Fine-Grained Control of Image Caption Generation With Abstract Scene Graphs
* Say CHEESE: Common Human Emotional Expression Set Encoder and Its Application to Analyze Deceptive Communication
* Say it to see it: A speech based immersive model retrieval system
* Say Yes to the Dress: Shape and Style Transfer Using Conditional GANs
* Sayette Group Formation Task (GFT) Spontaneous Facial Expression Database
* Saying the Unseen: Video Descriptions via Dialog Agents
* Saying What You're Looking For: Linguistics Meets Video Search
* SB-index and the HSB-index: Efficient indices for spatial data warehouses, The
* SBAS-Aided GPS Positioning with an Extended Ionosphere Map at the Boundaries of WAAS Service Area
* SBAS-InSAR Based Deformation Detection of Urban Land, Created from Mega-Scale Mountain Excavating and Valley Filling in the Loess Plateau: The Case Study of Yan'an City
* SBAS Analysis of Induced Ground Surface Deformation from Wastewater Injection in East Central Oklahoma, USA
* SBAS Integrity Model to Overbound Residuals of Higher-Order Ionospheric Effects in the Ionosphere-Free Linear Combination, An
* SBEVNet: End-to-End Deep Stereo Layout Estimation
* SBGAR: Semantics Based Group Activity Recognition
* SBNet: Segmentation-based Network for Natural Language-based Vehicle Search
* SBNet: Sparse Blocks Network for Fast Inference
* SBRISK: speed-up binary robust invariant scalable keypoints
* SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification
* SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification
* SC-CNN: Effective Speaker Conditioning Method for Zero-Shot Multi-Speaker Text-to-Speech Systems
* SC-FEGAN: Face Editing Generative Adversarial Network With User's Sketch and Color
* SC-GAN: Subspace Clustering based GAN for Automatic Expression Manipulation
* SC-LPR: Spatiotemporal context based LiDAR place recognition
* SC-PNN: Saliency Cascade Convolutional Neural Network for Pansharpening
* SC-RPN: A Strong Correlation Learning Framework for Region Proposal
* SC-SM CAM: An Efficient Visual Interpretation of CNN for SAR Images Target Recognition
* SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection
* SC-wLS: Towards Interpretable Feed-forward Camera Re-localization
* SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration
* SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
* SCA-Net: Spatial and channel attention-based network for 3D point clouds
* SCA Net: Sparse Channel Attention Module for Action Recognition
* SCAD: A Siamese Cross-Attention Discrimination Network for Bitemporal Building Change Detection
* SCAF: Skip-Connections in Auto-encoder for Face Alignment with Few Annotated Data
* ScaIL: Classifier Weights Scaling for Class Incremental Learning
* Scalability Analysis of Audio-Visual Person Identity Verification
* Scalability and Performance of LiDAR Point Cloud Data Management Systems: A State-of-the-Art Review
* Scalability Evaluation of Blind Spread-Spectrum Image Watermarking
* Scalability in Perception for Autonomous Driving: Waymo Open Dataset
* Scalability of Data Decomposition Based Algorithms: Attribute Reduction Problem
* Scalability of Vehicular M2M Communications in a 4G Cellular Network
* Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?
* Scalable 3-D Terrain Visualization Through Reversible JPEG2000-Based Blind Data Hiding
* Scalable 360° Video Stream Delivery: Challenges, Solutions, and Opportunities
* Scalable 3D HOG Model for Fast Object Detection and Viewpoint Estimation, A
* Scalable 3D shape retrieval using local features and the signature quadratic form distance
* Scalable 3D surface reconstruction by local stochastic fusion of disparity maps
* Scalable 3D Tracking of Multiple Interacting Objects
* Scalable 3D video streaming over P2P networks with playback length changeable chunk segmentation
* Scalable 6-DOF Localization on Mobile Devices
* Scalable Access Control For Privacy-Aware Media Sharing
* Scalable action localization with kernel-space hashing
* Scalable action recognition with a subspace forest
* Scalable Active Learning for Multiclass Image Classification
* Scalable active learning strategy for object category retrieval
* Scalable active matching
* Scalable ADMM Algorithm for Rigid Registration, A
* scalable algorithm for image retrieval by color, A
* Scalable Algorithm for Learning a Mahalanobis Distance Metric, A
* Scalable Algorithms for Media Processing
* Scalable and Accurate De-Snowing Algorithm for LiDAR Point Clouds in Winter, A
* Scalable and Accurate Descriptor for Dynamic Textures Using Bag of System Trees, A
* Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data
* Scalable and Adaptive Temporal Segmentation Algorithm for Video Coding, A
* Scalable and Channel-Adaptive Unequal Error Protection of Images with LDPC Codes
* Scalable and compact 3D action recognition with approximated RBF kernel machines
* Scalable and Compact Representation for Motion Capture Data Using Tensor Decomposition
* Scalable and Detail-Preserving Ground Surface Reconstruction from Large 3D Point Clouds Acquired by Mobile Mapping Systems
* Scalable and Effective Deep CCA via Soft Decorrelation
* Scalable and efficient coding of 3d model extracted from a video
* scalable and efficient method for salient region detection using sampled template collation, A
* Scalable and Explainable Outfit Generation
* scalable and flexible framework for smart video surveillance, A
* scalable and format-compliant encryption scheme for H.264/SVC bitstreams, A
* Scalable and Modular Solution for Virtual View Creation in Image-Based Rendering Systems, A
* scalable and multi-purpose point cloud server (PCS) for easier and faster point cloud data management and processing, A
* Scalable and Practical Natural Gradient for Large-Scale Deep Learning
* scalable and privacy preserving approach for counting pedestrians in urban environment, A
* scalable and programmable architecture for 2-d DWT decoding, A
* Scalable and Reliable Paradigm for Media on Demand, A
* Scalable and robust image compression using quadtrees
* Scalable and view-independent calibration of multi-projector display for arbitrary uneven surfaces
* Scalable Approach to Activity Recognition based on Object Use, A
* Scalable Approximate DCT Architectures for Efficient HEVC-Compliant Video Coding
* Scalable architecture for corresponding multiple video streams at frame rate
* scalable architecture for implementing the fast discrete periodic radon transform for prime sized images, A
* Scalable Architecture for Operational FMV Exploitation, A
* Scalable Architecture for Real-Time Stream Processing of Spatiotemporal IoT Stream Data: Performance Analysis on the Example of Map Matching, A
* Scalable array architecture design for full search block matching
* Scalable Arrow Detection in Biomedical Images
* Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks
* Scalable audio coding for compression and loss resilient streaming
* Scalable Aural-Visual Environment for Security Event Monitoring, Analysis, and Response, A
* Scalable authentication for various representations of JPEG 2000 images
* Scalable Bag of Selected Deep Features for Visual Instance Retrieval
* Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification
* Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization
* Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes
* Scalable Bit Allocation Between Texture and Depth Views for 3-D Video Streaming Over Heterogeneous Networks
* Scalable Cage-Driven Feature Detection and Shape Correspondence for 3D Point Sets
* Scalable Cascade Inference for Semantic Image Segmentation
* Scalable classifiers for Internet vision tasks
* Scalable clip-based near-duplicate video detection with ordinal measure
* Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching
* Scalable Clustered Camera System for Multiple Object Tracking, A
* Scalable clustering by aggregating representatives in hierarchical groups
* Scalable Coding and Progressive Transmission of Concentric Mosaic Using Nonlinear Filter Banks
* scalable coding approach for high quality depth image compression, A
* Scalable Coding Based on Adaptive Subband for Interlaced Video Sequences
* Scalable Coding Framework for a View-Dependent Streaming of Digital Holograms
* Scalable Coding of Depth Maps With R-D Optimized Embedding
* Scalable Coding of Encrypted Images
* Scalable Coding of High Dynamic Range Video
* Scalable Coding of Motion and Depth Fields With Shared Breakpoints
* Scalable Coding of Plenoptic Images by Using a Sparse Set and Disparities
* Scalable coding of shape contours in scale space
* Scalable coding of stream cipher encrypted images via adaptive sampling
* Scalable coding of variable size blocks motion vectors
* Scalable Coding of Very High Resolution Video Using the Virtual Zerotree
* Scalable coding schemes based on DCT and MC prediction
* Scalable Collaborative Online System for City Reconstruction, A
* Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching, A
* Scalable Comic-Like Video Summaries and Layout Disturbance
* scalable complexity specification for video applications, A
* Scalable compression based on tree structured vector quantization of perceptually weighted block, lapped, and wavelet transforms
* Scalable compression of volumetric images
* Scalable compressive video
* Scalable Computing Resources System for Remote Sensing Big Data Processing Using GeoPySpark Based on Spark on K8s, A
* Scalable Content-Based Music Retrieval Using Chord Progression Histogram and Tree-Structure LSH
* Scalable Convolutional Neural Network for Image Compressed Sensing
* Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network
* Scalable Cryptographic Scheme for Networked Multimedia Applications
* Scalable Data-Parallel Algorithms for Texture Synthesis Using Gibbs Random-Fields
* Scalable Data Parallel Algorithms for Texture Synthesis and Compression Using Gibbs Random Fields
* Scalable Database Approach to Computing Delaunay Triangulations, A
* Scalable Deep Hashing for Large-Scale Social Image Retrieval
* Scalable Deep k-Subspace Clustering
* Scalable Deep Neural Network to Detect Low Quality Images Without a Reference, A
* Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective
* Scalable Detection of Offensive and Non-compliant Content / Logo in Product Images
* Scalable diagnosis in IP networks using path-based measurement and inference: A learning framework
* Scalable Differential Privacy with Sparse Network Finetuning
* Scalable Direction-Search-Based Approach to Subspace Clustering
* Scalable discrepancy measures for segmentation evaluation
* Scalable Discrete Matrix Factorization and Semantic Autoencoder for Cross-Media Retrieval
* Scalable Discrete Supervised Multimedia Hash Learning With Clustering
* Scalable discriminant feature selection for image retrieval and recognition
* Scalable Distributed Hashing for Approximate Nearest Neighbor Search
* Scalable Distributed Video Coding for Wireless Video Sensor Networks
* scalable dual approach to semidefinite metric learning, A
* Scalable e-Learning Multimedia Adaptation Architecture
* Scalable edge enhancement with automatic optimization for digital radiographic images
* Scalable End-to-End Optimized Real-Time Image-Based Rendering Framework on Graphics Hardware, A
* Scalable Evolutionary Computation for Efficient Information Extraction from Remote Sensed Imagery
* Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data, A
* Scalable extension of HEVC using enhanced inter-layer prediction
* Scalable Extensions of HEVC for Ultra-High-Definition Video Delivery, The
* Scalable Extrinsic Calibration of Omni-Directional Image Networks
* Scalable face image retrieval integrating multi-feature quantization and constrained reference re-ranking
* Scalable Face Image Retrieval Using Attribute-Enhanced Sparse Codewords
* Scalable Face Image Retrieval with Identity-Based Quantization and Multireference Reranking
* Scalable face labeling in online social networks
* Scalable Face Track Retrieval in Video Archives Using Bag-of-Faces Sparse Representation
* Scalable Facial Image Compression with Deep Feature Reconstruction
* Scalable Feature Extraction for Coarse-to-Fine JPEG 2000 Image Classification
* Scalable Feature Extraction for Visual Surveillance
* Scalable Feature Extraction from Noisy Documents
* Scalable Feature Matching by Dual Cascaded Scalar Quantization for Image Retrieval
* Scalable Feedback of Spectral Projection for Subspace Learning
* Scalable Formulation of Probabilistic Linear Discriminant Analysis: Applied to Face Recognition, A
* Scalable FPGA/ASIC Implementation Architecture for Parallel Table-Lookup-Coding Using Multi-Ported Content Addressable Memory
* Scalable Frame to Block Based Automatic Converter for Efficient Embedded Vision Processing
* scalable framework for cluster ensembles, A
* Scalable Framework for Data-Driven Subspace Representation and Clustering, A
* Scalable Framework for Trajectory Prediction, A
* Scalable Full Flow with Learned Binary Descriptors
* Scalable Gamma-Driven Multilayer Network for Brain Workload Detection Through Functional Near-Infrared Spectroscopy
* Scalable geometric hashing on MasPar machines
* Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image
* Scalable graph-cut algorithm for N-D grids, A
* Scalable greedy algorithms for transfer learning
* Scalable H.264 Wireless Video Transmission over MIMO-OFDM Channels
* scalable H.264/AVC deblocking filter architecture, A
* Scalable H.264/AVC Video Transmission Over MIMO Wireless Systems With Adaptive Channel Selection Based on Partial Channel Information
* Scalable hardware architecture for disparity map computation and object location in real-time
* Scalable Hash From Triplet Loss Feature Aggregation For Video De-duplication
* Scalable Heuristic Classifier for Huge Datasets: A Theoretical Approach, A
* Scalable HEVC decoder for mobile devices: Trade-off between energy consumption and quality
* Scalable high-definition video coding
* Scalable High-Performance Hardware Architecture for Real-Time Stereo Vision by Semi-Global Matching, A
* Scalable hybrid adjustment of images and LiDAR point clouds
* Scalable IC Platform for Smart Cameras
* Scalable ideal-segmented chain coding
* Scalable identification of mixed environmental sounds, recorded from heterogeneous sources
* scalable image-based multi-camera visual surveillance system, A
* Scalable image co-segmentation using color and covariance features
* Scalable Image Coder Mixing DCT and Triangular Meshes
* Scalable Image Coding Based on Epitomes
* Scalable Image Coding By Spline Approximation For a Gray-Scale Image
* Scalable Image Coding for Humans and Machines
* Scalable Image Coding Using Reversible Integer Wavelet Transforms
* Scalable Image Coding with Projection-based Context Modeling
* Scalable image quality assessment with 2D mel-cepstrum and machine learning approach
* Scalable Image Retrieval Based on Feature Forest
* Scalable Image Retrieval by Sparse Product Quantization
* Scalable image segmentation via decoupled sub-graph compression
* Scalable image transmission using rate-compatible irregular repeat accumulate (IRA) codes
* Scalable Indexing for Perceptual Data
* Scalable Integrated Region-based Image Retrieval System, A
* Scalable internet video using MPEG-4
* Scalable Intra Coding Optimization for Video Coding
* Scalable Intraband and Composite Wavelet-Based Coding of Semiregular Meshes
* Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction
* Scalable Joint Source-Channel Coding for the Scalable Extension of H.264/AVC
* Scalable k-NN graph construction for visual descriptors
* Scalable Kernel Correlation Filter with Sparse Feature Integration
* Scalable kNN Search Approximation for Time Series Data
* Scalable Learned Image Compression With A Recurrent Neural Networks-Based Hyperprior
* Scalable learning for bridging the species gap in image-based plant phenotyping
* Scalable learning for restricted Boltzmann machines
* Scalable Learning Framework for Traversable Region Detection Fusing With Appearance and Geometrical Information
* Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models
* Scalable lifelong reinforcement learning
* Scalable Light Field Coding Using Weighted Binary Images
* Scalable light field compression scheme using sparse reconstruction and restoration
* Scalable line-based wavelet image coding in wireless sensor networks
* Scalable Linear Predictive Coding of Time-Consistent 3D Mesh Sequences
* Scalable logo detection by self co-learning
* Scalable logo recognition in real-world images
* Scalable Logo Recognition Using Proxies
* Scalable Lossless Compression Algorithm for Motion Pictures
* Scalable Lossy to Lossless Video Coding Via Adaptive 3d Wavelet Transform and Context Modeling
* Scalable Low-Cost Automated Storage and Retrieval System, A
* Scalable Machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data, A
* Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization
* Scalable Markov model-based image annotation
* Scalable Massively Parallel Motion and Disparity Estimation Scheme for Multiview Video Coding, A
* Scalable Media Coding Enabling Content-Aware Networking
* Scalable Methodology for Evaluating and Designing Coordinated Air-Traffic Flow Management Strategies Under Uncertainty, A
* scalable metric learning-based voting method for expression recognition, A
* Scalable Metric Learning via Weighted Approximate Rank Component Analysis
* Scalable Mobile-to-Mobile Video Communications Based on an Improved WZ-to-SVC Transcoder
* Scalable Mobile Image Retrieval by Exploring Contextual Saliency
* Scalable Mobile Video Retrieval with Sparse Projection Learning and Pseudo Label Mining
* Scalable Mobile Visual Classification by Kernel Preserving Projection Over High-Dimensional Features
* Scalable model-based cluster analysis using clustering features
* Scalable Model-Based Clustering for Large Databases Based on Data Summarization
* scalable model-based hand posture analysis system, A
* scalable model for knowledge sharing based supervised learning using AdaBoost, A
* Scalable Model Selection for Spatial Additive Mixed Modeling: Application to Crime Analysis
* Scalable Modeling of Motion and Boundary Geometry With Quad-Tree Node Merging
* Scalable Monocular SLAM by Fusing and Connecting Line Segments with Inverse Depth Filter
* Scalable Monocular SLAM
* Scalable Motion Vector Coding Based on CABAC for MC-EZBC
* Scalable motion vector coding
* Scalable MPEG-2 decoder
* scalable MPEG-4 wavelet-based visual texture compression system with optimized memory organization, A
* Scalable multi-class object detection
* Scalable Multi-Consistency Feature Matching with Non-Cooperative Games
* Scalable multi-label annotation via semi-supervised kernel semantic embedding
* Scalable multi-label canonical correlation analysis for cross-modal retrieval
* Scalable multi-output label prediction: From classifier chains to classifier trellises
* scalable multi-view audiovisual entertainment framework with content-aware distribution, A
* Scalable Multi-View Semi-Supervised Classification via Adaptive Regression
* Scalable multi-view stereo
* Scalable multi agent system middleware for HPC of Big Data Applications
* Scalable multilevel fast multipole method for multiple targets in the vicinity of a half space
* Scalable Multimedia Fingerprinting Forensics with Side Information
* Scalable Multiple-Description Image Coding Based on Embedded Quantization
* Scalable Multiple Description Video Coding with Flexible Number of Descriptions
* Scalable multiplexing for depth adjustment of ROI in 3D display
* Scalable Multisensor Multitarget Tracking Using the Marginalized delta-GLMB Density
* Scalable Multitask Representation Learning for Scene Classification
* Scalable Multiuser Framework for Video Over OFDM Networks: Fairness and Efficiency, A
* Scalable multiview video coding for immersive video streaming systems
* Scalable near-lossless video compression based on HEVC
* Scalable Near-Optimal Recursive Structure from Motion
* Scalable near identical image and shot detection
* Scalable Nearest Neighbor Algorithms for High Dimensional Data
* Scalable non-linear Support Vector Machine using hierarchical clustering
* Scalable non-rigid registration for multi-view stereo data
* Scalable Nonlinear Embeddings for Semantic Category-Based Image Retrieval
* Scalable object-based image retrieval
* Scalable Object-based Video Multicasting Over the Internet
* Scalable Object-Based Video Retrieval in HD Video Databases
* Scalable object-class retrieval with approximate and top-k ranking
* Scalable Object Classification Using Range Images
* Scalable object detection by filter compression with regularized sparse coding
* Scalable Object Detection Using Deep Neural Networks
* Scalable Object Discovery: A Hash-Based Approach to Clustering Co-occurring Visual Words
* Scalable object instance recognition based on keygraph matching
* Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and Its Application in Autism Spectrum Disorder, A
* Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection
* Scalable Online Convolutional Sparse Coding
* Scalable Optimization Mechanism for Pairwise Based Discrete Hashing, A
* Scalable out-of-sample extension of graph embeddings using deep neural networks
* scalable parallel hardware architecture for connected component labeling, A
* Scalable Parallel Implementations of Perceptual Grouping on Connection Machine CM-5
* Scalable parallel processing design for real time handwritten OCR
* Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy
* scalable pattern spotting system for historical documents, A
* Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels
* Scalable people re-identification based on a one-against-some classification scheme
* Scalable Person Re-Identification by Harmonious Attention
* Scalable Person Re-identification on Supervised Smoothed Manifold
* Scalable Person Re-identification: A Benchmark
* Scalable phase extraction methods for phase plane motion estimation
* Scalable Photogrammetric Motion Capture System 'MOSCA': Development and Application
* Scalable Place Recognition Under Appearance Change for Autonomous Driving
* Scalable Point Cloud-based Reconstruction with Local Implicit Functions
* Scalable portrait video for mobile video communication
* Scalable Precision Analysis Framework, A
* Scalable predictive coding by nested quantization with layered side information
* Scalable Projective Bundle Adjustment Algorithm using the L infinity Norm, A
* Scalable Protection and Access Control in Full Scalable Video Coding
* Scalable Prototype Learning Using GPUs
* Scalable proxy caching algorithm minimizing client's buffer size and channel bandwidth
* Scalable Rate Control for MPEG-4 Video
* Scalable Rate Control for Very Low Bit Rate (VLBR) Video
* Scalable Recognition with a Vocabulary Tree
* Scalable region-based image retrieval system in the Wavelet Transform domain
* Scalable Reinforcement Learning Algorithm for Scheduling Railway Lines, A
* Scalable Representation and Learning for 3D Object Recognition Using Shared Feature-Based View Clustering
* Scalable representation for 3D object recognition using feature sharing and view clustering
* Scalable Representation Learning for Long-Term Augmented Reality-Based Information Delivery in Collaborative Human-Robot Perception
* Scalable Representative Instance Selection and Ranking
* Scalable Resolution Display Walls
* Scalable Resource Allocation for SVC Video Streaming Over Multiuser MIMO-OFDM Networks
* Scalable Reversible Data Embedding Method with progressive quality degradation functionality, A
* Scalable RFID Tag Estimator With Enhanced Accuracy and Low Estimation Time
* Scalable Robust Principal Component Analysis Using Grassmann Averages
* Scalable row-based parallel H.264 decoder on embedded multicore processors
* Scalable secret image sharing scheme with essential shadows
* Scalable Secret Image Sharing With Smaller Shadow Images
* Scalable secret image sharing
* Scalable Security and Conditional Access Control for Multiple Regions of Interest in Scalable Video Coding
* Scalable Segmentation-Based Coding of Video Sequences Addressing Content-Based Functionalities
* Scalable Semi-Automatic Annotation for Multi-Camera Person Tracking
* Scalable semi-supervised clustering by spectral kernel learning
* Scalable Semi-Supervised Learning by Graph Construction with Approximate Anchors Embedding
* Scalable Shape Representation for Content-Based Visual Data Compression
* Scalable Similarity Learning Using Large Margin Neighborhood Embedding
* Scalable Similarity Search With Topology Preserving Hashing
* Scalable Sketch-Based Image Retrieval Using Color Gradient Features
* scalable solution for integrating illustrated parts drawings into a class IV interactive electronic technical manual, A
* Scalable Solution for Interactive Near Video-on-Demand Systems, A
* scalable source coder for a hybrid HDTV terrestrial broadcasting system, A
* Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
* Scalable Sparse Subspace Clustering
* scalable spatiotemporal inference framework based on statistical shape analysis for natural ecosystem monitoring by remote sensing, A
* Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similarity, A
* Scalable spectral clustering with cosine similarity
* Scalable stereo matching with Locally Adaptive Polygon Approximation
* Scalable structure from motion for densely sampled videos
* Scalable Structured Compressive Video Sampling With Hierarchical Subspace Learning
* Scalable subband image coding with segmented orthogonal matching pursuit
* Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding
* Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity
* Scalable Surveillance Software Architecture
* Scalable System Architecture for Activity Detection with Simple Heuristics, A
* Scalable texture compression using the wavelet transform
* Scalable Tile-Based Framework for Region-Merging Segmentation, A
* Scalable triangulation-based logo recognition
* Scalable Uncertainty for Computer Vision With Functional Variational Inference
* Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data, A
* Scalable user-friendly image sharing
* Scalable Variable Complexity Approximate Forward DCT
* Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
* Scalable Verified Training for Provably Robust Image Classification
* Scalable Video Broadcast Over Downlink MIMO-OFDM Systems
* Scalable video browsing and searching via Q-metric
* scalable video codec for layered video streaming, A
* Scalable video coding and transport over broadband wireless networks
* Scalable video coding based on motion-compensated temporal filtering: complexity and functionality analysis
* Scalable video coding by stream morphing
* Scalable video coding using motion-compensated temporal filtering
* Scalable video coding with managed drift
* Scalable video coding with multi-layer motion vector palettes
* Scalable video coding with robust mode selection
* Scalable Video Coding, SVC, Extensions AVC/H.264
* Scalable video compression and spatiotemporal scalability with lifted pyramid and antialiased DWT schemes
* Scalable Video Compression Framework With Adaptive Orientational Multiresolution Transform and Nonuniform Directional Filterbank Design
* Scalable Video Compression Scheme for Tele-Surveillance Applications Based on Cast Shadow Detection and Modelling
* Scalable video compression via overcomplete motion compensated wavelet coding
* Scalable Video Conferencing System Using Cached Facial Expressions, A
* Scalable video encryption of H.264 SVC Codec
* Scalable Video Event Retrieval by Visual State Binary Embedding
* Scalable video fusion
* Scalable Video Multicast for MU-MIMO Systems With Antenna Heterogeneity
* Scalable Video Multicast in Hybrid 3G/Ad-Hoc Networks
* Scalable Video Multicast Using Expanding Window Fountain Codes
* Scalable Video Rate Camera Interface, A
* Scalable Video Stabilization Algorithm for Multi-camera Systems, A
* Scalable video streaming over OpenFlow networks: An optimization framework for QoS routing
* Scalable Video Streaming With Fine-Grain Adaptive Forward Error Correction
* Scalable Video Summarization Using Skeleton Graph and Random Walk
* Scalable video summarization
* Scalable video transmission over multi-hop wireless networks with enhanced quality of experience using swarm intelligence
* Scalable Video Transmission Over Wireless DS-CDMA Channels Using Minimum TSC Spreading Codes
* Scalable Video Transmission Using Double Binary Turbo Code
* Scalable Video with Background Segmentation
* scalable VideoGIS system for GPS-guided vehicles, A
* Scalable Vision System for Mouse Homecage Ethology
* Scalable Vision Transformers with Hierarchical Pooling
* Scalable visual assessment of cluster tendency for large data sets
* Scalable Visual Instance Mining with Instance Graph
* Scalable VLSI architectures for full-search block matching algorithms
* Scalable vs. multiple-description video coding for adaptive streaming over peer-to-peer networks
* Scalable watermark extraction for real-time authentication of JPEG 2000 images
* Scalable Wavelet-Based Coding of Irregular Meshes With Interactive Region-of-Interest Support
* scalable wavelet-based video distortion metric and applications, A
* Scalable Wavelet Coding for Synthetic/Natural Hybrid Images
* scalable wavelet image coding scheme using multi-stage pruned tree-structured vector quantization, A
* Scalable wavelet video-coding with in-band prediction implementation and experimental results
* Scalable wavelet video-coding with in-band prediction the bottom-up overcomplete discrete wavelet transform
* Scalable Wavelet Video Coding Using Aliasing-Reduced Hierarchical Motion Compensation
* Scalable wireless video broadcast based on unequal protection
* Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings
* Scalable, Absolute Position Recovery for Omni-Directional Image Networks
* scalable, efficient, and accurate solution to non-rigid structure from motion, A
* Scalable, error-resilient, and high-performance video communications in mobile wireless environments
* scalable, high-precision, and low-noise detector of shift-invariant image locations, A
* Scalable, Highly Efficient, and Error Resilient Image Transmission by Using Joint Source-channel Coding Strategies
* Scalable, Multi-Stream MPEG-4 Video Decoder for Conferencing and Surveillance Applications, A
* Scalable, Real-Time, Image-Processing Pipeline, A
* Scalable, self-organizing 3D camera network for non-intrusive people tracking and counting
* Scalable, Supervised Classification of Seabed Sediment Waves Using an Object-Based Image Analysis Approach, A
* Scalable, Wavelet-Based Video: From Server to Hardware-Accelerated Client
* ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer
* Scalar-quantization-based multi-layer data hiding for video coding applications
* Scalar field visualization via extraction of symmetric structures
* Scalar Function Formulation For Optical Flow, A
* Scalar image interest point detection and description based on discrete Morse theory and geometric descriptors
* Scalar quantisation of heavy-tailed signals
* Scalar Quantization as Sparse Least Square Optimization
* Scalar Quantization With Random Thresholds
* Scalar Vector Quantization of Medical Images
* Scale- and Affine-Invariant Fan Feature
* scale- and orientation-adaptive extension of Local Binary Patterns for texture classification, A
* Scale- and Orientation-Invariant Generalized Hough Transform: A New Approach
* Scale- and orientation-invariant keypoints in higher-dimensional data
* Scale- and Region-Dependence in Landscape-PM2.5 Correlation: Implications for Urban Planning
* Scale- and Rotation-Invariant Local Binary Pattern Using Scale-Adaptive Texton and Subuniform-Based Circular Shift
* Scale-Adaptive Adversarial Patch Attack for Remote Sensing Image Aircraft Detection
* Scale-Adaptive Convolutions for Scene Parsing
* Scale-Adaptive Deconvolutional Regression Network for Pedestrian Detection
* Scale-adaptive EigenEye for fast eye detection in wild web images
* Scale-Adaptive Face Detection and Tracking in Real Time with SSR Filters and Support Vector Machine
* Scale-adaptive Landmark Detection, Classification and Size Estimation in 3d Object-background Images
* Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
* Scale-Adaptive Object Tracking with Diverse Ensembles
* Scale-adaptive orientation estimation
* Scale-Adaptive Real-Time Crowd Detection and Counting for Drone Images
* Scale-Adaptive Segmentation and Recognition of Individual Trees Based on LiDAR Data
* Scale-Adaptive Spatial Appearance Feature Density Approximation for Object Tracking
* Scale-Adaptive Texture Classification
* Scale-Arbitrary Invertible Image Downscaling
* Scale-Aware Alignment of Hierarchical Image Segmentation
* Scale-aware Automatic Augmentation for Object Detection
* Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training
* Scale-aware Conditional Generative Adversarial Network for Image Dehazing
* Scale-Aware Crowd Counting via Depth-Embedded Convolutional Neural Networks
* Scale-Aware Domain Adaptive Faster R-CNN
* Scale-Aware Edge-Preserving Image Filtering via Iterative Global Optimization
* Scale-Aware Face Detection
* Scale-Aware Fast R-CNN for Pedestrian Detection
* Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation
* Scale-aware heatmap representation for human pose estimation
* Scale-aware hierarchical loss: A multipath RPN for multi-scale pedestrian detection
* Scale-aware limited deformable convolutional neural networks for traffic sign detection and classification
* Scale-Aware Neural Network for Semantic Segmentation of Multi-Resolution Remote Sensing Images
* Scale-Aware Object Tracking with Convex Shape Constraints on RGB-D Images
* Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes
* Scale-Aware Pixelwise Object Proposal Networks
* Scale-aware Polar Representation for Arbitrarily-shaped Text Detection
* Scale-Aware Pyramid Network for Multi-Scale Object Detection in SAR Images, A
* Scale-Aware RPN for Vehicle Detection
* Scale-Aware Saliency for Application to Frame Rate Upconversion
* Scale-Aware Spatially Guided Mapping
* Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection
* Scale-Aware Trident Networks for Object Detection
* Scale-aware Yolo Model for Pedestrian Detection, A
* Scale-awareness for More Accurate Object Detection Using Modified Single Shot Detectors
* Scale-Awareness of Light Field Camera Based Visual Odometry
* Scale-balanced loss for object detection
* Scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution
* Scale-Based Connected Coherence Tree Algorithm for Image Segmentation, A
* Scale-Based Corner Extraction of a Contour Figure Using a Crystalline Flow
* Scale-Based Detection of Corners of Planar Curves
* Scale-based diffusive image filtering preserving boundary sharpness and fine structures
* Scale-based formulations of statistical self-similarity in images
* Scale-Based Fuzzy Connected Image Segmentation: Theory, Algorithms, and Validation
* Scale-Based Hierarchical Description and Matching of Waveforms
* scale-based pyramid weighting of the wavelet coefficients in zerotree coding techniques, The
* Scale-Based Robust Image Segmentation
* Scale-Consistent Fusion: From Heterogeneous Local Sampling to Global Immersive Rendering
* Scale-constrained unsupervised evaluation method for multi-scale image segmentation
* Scale-Corrected Background Modeling
* Scale-covariant and Scale-invariant Gaussian Derivative Networks
* Scale-Dependent 3D Geometric Features
* Scale-Dependent Adaptation of Image Analysis Models Incorporating Local Context Objects
* Scale-Dependent Adaptation of Object Models for Road Extraction
* Scale-dependent hierarchical unsupervised segmentation of textured images
* Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
* Scale-Driven Change Detection Method Incorporating Uncertainty Analysis for Remote Sensing Images, A
* Scale-Driven Iterative Optimization for Brain Extraction and Registration
* Scale-Equalizing Pyramid Convolution for Object Detection
* Scale-Equivalent Distillation for Semi-Supervised Object Detection
* Scale-Free Content Based Image Retrieval (or Nearly so)
* Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification
* scale-free distribution of false positives for a large class of audio similarity measures, A
* Scale-Free Properties of Human Mobility and Applications to Intelligent Transportation Systems
* Scale-Free Registrations in 3D: 7 Degrees of Freedom with Fourier Mellin SOFT Transforms
* Scale-Free Single Image Deraining Via Visibility-Enhanced Recurrent Wavelet Learning
* Scale-hierarchical 3D object recognition in cluttered scenes
* Scale-Imprecision Space
* Scale-Independent Dominant Point Detection Algorithm, A
* Scale-independent quality criteria for dimensionality reduction
* Scale-Invariance of Support Vector Machines based on the Triangular Kernel
* Scale-invariant anomaly detection with multiscale group-sparse models
* Scale-invariant batch-adaptive residual learning for person re-identification
* scale-invariant change detection method for land use/cover change research, A
* Scale-Invariant Contour Completion Using Conditional Random Fields
* Scale-invariant contour segment context in object detection
* Scale-invariant corner keypoints
* Scale-invariant density-based clustering initialization algorithm and its application
* Scale-invariant feature matching based on pairs of feature points
* Scale-Invariant Features and Polar Descriptors in Omnidirectional Imaging
* Scale-Invariant Features for 3-D Mesh Models
* Scale-Invariant Features on the Sphere
* Scale-invariant heat kernel signatures for non-rigid shape recognition
* Scale-Invariant Image Recognition Based on Higher-Order Autocorrelation Features
* Scale-invariant line descriptors for wide baseline matching
* Scale-invariant medial features based on gradient vector flow fields
* Scale-Invariant Multi-Level Context Aggregation Network for Weakly Supervised Building Extraction
* Scale-Invariant Multi-Oriented Text Detection in Wild Scene Image
* Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search
* Scale-Invariant Polyhedral Object Recognition Using Fragmentary Edge Segments
* Scale-invariant proximity graph for fast probabilistic object recognition
* Scale-invariant range features for time-of-flight camera applications
* Scale-Invariant Region-Based Hierarchical Image Matching
* Scale-Invariant Salient Edge Detection
* Scale-invariant sampling for supervised image segmentation
* Scale-invariant shape features for recognition of object categories
* Scale-Invariant Siamese Network For Person Re-Identification
* Scale-invariant template matching using histogram of dominant gradients
* Scale-Invariant Visual Language Modeling for Object Categorization
* Scale-Less Feature-Spatial Matching
* Scale-Localized Abstract Reasoning
* Scale-orientation histogram for texture image retrieval
* Scale-progressive Multi-patch Network for image dehazing
* Scale-Recurrent Multi-residual Dense Network for Image Super-Resolution
* Scale-Recurrent Network for Deep Image Deblurring
* scale-recursive, statistically-based method for anomaly characterization in images based upon observations of scattered radiation, A
* Scale-Relation Feature for Moving Cast Shadow Detection
* Scale-Residual Learning Network for Scene Text Detection
* Scale-rotation invariant features from Non-Subsampled Contourlets
* Scale-Rotation Invariant Pattern Entropy for Keypoint-Based Near-Duplicate Detection
* Scale-Rotation Invariant Pattern Recognition Applied to Image Data Compression
* Scale-selective and noise-robust extended local binary pattern for texture classification
* scale-sensitive heatmap representation for multi-person pose estimation, A
* Scale-Separating Framework for Fusing Satellite Land Surface Temperature Products, A
* Scale-Sets Image Analysis
* Scale-Space Analysis and Corner Detection on Digital Curves Using a Discrete Scale-Space Kernel
* Scale-Space Analysis of a Contour Figure Using a Crystalline Flow, A
* Scale-Space Analysis of Discrete Filtering Over Arbitrary Triangulated Surfaces
* Scale-Space Approach for Deformable Contour Optimization, A
* Scale-Space Approach for Multiscale Shape Analysis, A
* Scale-space approach for the comparison of HK and SC curvature descriptions as applied to object recognition
* Scale-Space Approach to Face Recognition from Profiles, A
* Scale-Space Approach to Landmark Constrained Image Registration, A
* Scale-Space Approach to Nonlocal Optical Flow Calculations, A
* scale-space approach to preattentive texture discrimination, A
* scale-space based hierarchical representation of discrete data, A
* Scale-Space Behavior of Planar-Curve Corners
* Scale-Space Behaviour and Invariance Properties of Differential Singularities
* Scale-Space Behaviour of Local Extrema and Blobs
* scale-space chip, A
* Scale-space clustering and classification of SAR images with numerous attributes and classes
* Scale-Space Clustering on a Unit Hypersphere
* Scale-Space Clustering on the Sphere
* Scale-Space Clustering with Recursive Validation
* Scale-space compression and its application using spectral theory
* Scale-Space Decomposition and Nearest Linear Combination Based Approach for Face Recognition
* Scale-Space Derived from B-splines
* Scale-Space Displacement Of Zero-Crossings Of Del(2)G Operated Images For Convex-Bodies And Convex-Sets
* Scale-Space Events and Their Link to Abstraction for Road Extraction
* Scale-Space Feature Based Image Watermarking in Contourlet Domain
* Scale-Space Features for Object Detection
* Scale-Space Filtering Approach for Visual Feature-Extraction, A
* Scale-space filtering using a piecewise polynomial representation
* Scale-Space Filtering
* Scale-Space Flow for End-to-End Optimized Video Compression
* Scale-Space for Discrete Signals
* Scale-Space for N-Dimensional Discrete Signals
* Scale-Space Formulation of Pyramid Data Structures, The
* Scale-Space from a Level Lines Tree
* Scale-Space from Nonlinear Filters
* Scale-Space Generation via Uncertainty Principles
* Scale-Space Image Analysis Based on Hermite Polynomials Theory
* Scale-Space Kernels for Additive Modeling
* Scale-Space Matching and Image Retrieval
* Scale-Space Medialness Transform Based on Boundary Concordance Voting, A
* Scale-space method of image ringing estimation
* Scale-Space Methods for Image Feature Modeling in Vision Metrology
* Scale-Space on Image Profiles about an Object Boundary
* Scale-Space Primal Sketch: Construction and Experiments
* Scale-Space Processing Using Polynomial Representations
* Scale-Space Properties of Nonstationary Iterative Regularization Methods
* Scale-Space Properties of Quadratic Edge Detectors
* Scale-Space Properties of Quadratic Feature-Detectors
* Scale-Space Properties of Regularization Methods
* Scale-Space Properties of the Multiscale Morphological Dilation Erosion
* Scale-Space Reeb-Graph of Topological Invariants of Images and Its Applications to Content Identification, A
* Scale-Space Representation Based on Levelings Through Hierarchies of Level Sets
* Scale-Space Representation of Lung HRCT Images for Diffuse Lung Disease Classification
* Scale-space representation of scalar functions on 2D manifolds
* Scale-Space Semilocal Invariants
* Scale-Space SIFT flow
* Scale-space signatures for the detection of clustered microcalcifications in digital mammograms
* Scale-Space Singularities
* Scale-space spatio-temporal random fields: Application to the detection of growing microbial patterns from surface roughness
* Scale-Space Spectral Representation of Shape
* scale-space technique for polygonal approximation of planar curves, A
* Scale-Space Techniques for Fiducial Points Extraction from 3D Faces
* Scale-Space Texture Classification Using Combined Classifiers
* Scale-space texture description on SIFT-like textons
* Scale-space theories for scalar and vector images
* Scale-Space Theory for Auditory Signals
* Scale-Space Theory in Computer Vision
* Scale-Space Theory: A Basic Tool for Analysing Structures at Different Scales
* Scale-Space Toggle Operator for Image Transformations, A
* Scale-Space Tree and Its Hierarchy
* Scale-Space Trees and Applications as Filters for Stereo Vision and Image Retrieval
* Scale-Space Unsupervised Cluster Analysis
* Scale-Space Using Mathematical Morphology
* Scale-Space Vector Fields for Feature Analysis
* Scale-Space with Causal Time Direction
* Scale-Space
* Scale-Space: A Basis for Early Vision
* Scale-Space: Its Natural Operators and Differential Invariants
* Scale-spaces, PDE's, and scale invariance
* Scale-specific Hyperspectral Remote Sensing Approach in Environmental Research
* Scale-Specific Prediction of Topsoil Organic Carbon Contents Using Terrain Attributes and SCMaP Soil Reflectance Composites
* Scale-Synthesis Method for High Spatial Resolution Remote Sensing Image Segmentation, A
* Scale-time kernels and models
* Scale-Transferrable Object Detection
* Scale-variable region-merging for high resolution remote sensing image segmentation
* Scale-Varying Triplet Ranking with Classification Loss for Facial Age Estimation
* Scale-Vector Approach For Edge-Detection, A
* Scale-weighted dense bag of visual features for 3D model retrieval from a partial view 3D model
* Scale Accuracy Evaluation of Image-Based 3D Reconstruction Strategies Using Laser Photogrammetry
* Scale Adaptive Complexity Measure of 2D Shapes
* Scale Adaptive Dictionary Learning
* Scale Adaptive Filters
* Scale Adaptive Fusion Network for RGB-D Salient Object Detection
* Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration, A
* Scale Adaptive Mean Shift Tracking Based on Feature Point Matching
* Scale Adaptive Method for Focusing Spectral Peaks, A
* Scale Adaptive Tracking Using Mean Shift and Efficient Feature Matching
* Scale Aggregation Network for Accurate and Efficient Crowd Counting
* Scale alignment of 3D point clouds with different scales
* Scale Analysis of Several Filter Banks for Color Texture Classification
* Scale Analysis of Typhoon In-Fa (2021) Based on FY-4A Geostationary Interferometric Infrared Sounder (GIIRS) Observed and All-Sky-Simulated Brightness Temperature
* Scale and Affine Invariant Interest Point Detectors
* Scale and Edge Detection with Topological Derivatives
* Scale and Landscape Features Matter for Understanding Waterbird Habitat Selection
* Scale and object aware image retargeting for thumbnail browsing
* Scale and Object Aware Image Thumbnailing
* Scale and Occlusion Invariant Tracking-by-Detection
* Scale and orientation adaptive mean shift tracking
* Scale and Orientation Aware EPI-Patch Learning for Light Field Depth Estimation
* Scale and Orientation Invariance in Human Face Detection
* Scale and orientation invariant 3D interest point extraction using HK curvatures
* Scale and Orientation Invariant Text Segmentation for Born-Digital Compound Images
* Scale and Rotation Invariant Approach to Tracking Human Body Part Regions in Videos
* Scale and Rotation Invariant Character Segmentation from Coins
* Scale and rotation invariant color features for weakly-supervised object Learning in 3D space
* Scale and rotation invariant feature-based object tracking via modified on-line boosting
* Scale and Rotation Invariant Gabor Features for Texture Retrieval
* Scale and Rotation Invariant Matching Using Linearly Augmented Trees
* Scale and rotation invariant OCR for Pashto cursive script using MDLSTM network
* scale and rotation invariant scheme for multi-oriented Character Recognition, A
* Scale and Rotation Invariant Texture Classification Using Covariate Shift Methodology
* Scale and rotation invariant texture features from the dual-tree complex wavelet transform
* Scale and Segmentation of Grey-Level Images Using Maximum Gradient Paths
* Scale and skew-invariant road sign recognition
* Scale and Texture in Digital Image Classification
* Scale and the Differential Structure of Images
* Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery
* Scale aware remote sensing image enhancement using rolling guidance
* Scale balance for prototype-based binary quantization
* Scale Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
* Scale Based Description of Planar Curves
* Scale Behaviour Prediction of Image Analysis Models for 2D Landscape Objects
* Scale Change Versus Scale Space Representation
* Scale Coding Bag-of-Words for Action Recognition
* Scale coding bag of deep features for human attribute and action recognition
* Scale Consistent Image Completion
* Scale Conversion Model Based on Deep Learning of UAV Images, A
* Scale Decomposed Information Measure in Images, A
* Scale Dependency of Image Derivatives for Feature Measurement in Curvilinear Structures
* Scale Dependent Differential Geometry for the Measurement of Center Line and Diameter in 3D Curvilinear Structures
* Scale Detection and Region Extraction from a Scale-Space Primal Sketch
* Scale detection via keypoint density maps in regular or near-regular textures
* Scale Drift Correction of Camera Geo-Localization Using Geo-Tagged Images
* Scale Effect in Indirect Measurement of Leaf Area Index
* Scale Effects and Time Variation of Trade-Offs and Synergies among Ecosystem Services in the Pearl River Delta, China
* Scale Effects of the Relationships between Urban Heat Islands and Impact Factors Based on a Geographically-Weighted Regression Model
* Scale Equivariance Improves Siamese Tracking
* Scale estimation-based visual tracking with optimized convolutional activation features
* Scale Estimation Algorithm Using Phase-Based Correspondence Matching for Electron Microscope Images, A
* Scale Estimation in Multiple Models Fitting via Consensus Clustering
* Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera
* Scale estimation with difference of ordered residuals
* Scale Factor Determination for the GRACE Follow-On Laser Ranging Interferometer Including Thermal Coupling
* Scale filtered Euclidean medial axis and its hierarchy
* Scale Filtered Euclidean Medial Axis
* Scale Impact of Soil Moisture Observations to Noah-MP Land Surface Model Simulations
* Scale in Scale for SAR Ship Instance Segmentation
* Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes, A
* Scale invariance and noise in natural images
* Scale Invariance for Evolved Interest Operators
* Scale invariance without scale selection
* Scale invariant 3D multi-person tracking using a base set of bundle adjusted visual landmarks
* Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
* Scale invariant and deformation tolerant partial shape matching
* Scale Invariant and Noise Robust Interest Points With Shearlets
* Scale invariant cosegmentation for image groups
* Scale invariant descriptors in pattern analysis of melanocytic lesions
* scale invariant distance measure for texture retrieval, A
* Scale Invariant Face Detection Method Using Higher-Order Local Autocorrelation Features Extracted from Log-Polar Image
* Scale invariant face recognition using probabilistic similarity measure
* Scale Invariant Feature Transform on the Sphere: Theory and Applications
* Scale Invariant Feature Transform with Irregular Orientation Histogram Binning
* Scale Invariant Feature Transform: A Graphical Parameter Analysis
* Scale Invariant Features, SIFT, SURF, ASIFT
* Scale Invariant Geometry for Nonrigid Shapes
* Scale Invariant Human Action Detection from Depth Cameras Using Class Templates
* Scale invariant images in astronomy through the lens of multifractal modeling
* Scale Invariant Interest Point Detector for Discriminative Blob Detection, A
* Scale invariant kernel-based object tracking
* Scale Invariant Keypoint Detector Based on Visual and Geometrical Cues, A
* Scale invariant line-based co-registration of multimodal aerial data using L1 minimization of spatial and angular deviations
* Scale invariant line matching on the sphere
* Scale Invariant Metrics of Volumetric Datasets
* Scale Invariant Optical Flow
* Scale Invariant Robust Registration of 3D-Point Data and a Triangle Mesh by Global Optimization
* Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track
* Scale Invariant Surface Curvature Estimator, A
* Scale Invariant Texture Analysis Using Multi-scale Local Autocorrelation Features
* Scale invariant texture representation based on frequency decomposition and gradient orientation
* Scale Invariants of Three-Dimensional Legendre Moments
* Scale Issues Related to the Accuracy Assessment of Land Use/Land Cover Maps Produced Using Multi-Resolution Data: Comments on 'The Improvement of Land Cover Classification by Thermal Remote Sensing'
* Scale Mapping and Dynamic Re-Detecting in Dense Head Detection
* Scale Match for Tiny Person Detection
* Scale Matching of 3D Point Clouds by Finding Keyscales with Spin Images
* Scale Matters: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for Large and Heterogeneous Satellite Images
* Scale Mixtures of Gaussians and the Statistics of Natural Images
* Scale Model Experimental Validation and Calibration of the Half-Space Green's Function Born Approximation Model Applied to Cross-Well Radar Sensing
* Scale multiplication in odd Gabor transform domain for edge detection
* Scale Normalized Image Pyramids With AutoFocus for Object Detection
* Scale Normalized Radial Fourier Transform as a Robust Image Descriptor
* Scale Object Selection (SOS) through a hierarchical segmentation by a multi-spectral per-pixel classification
* scale of a texture and its application to segmentation, The
* scale of edges, The
* Scale of Geometric Texture, The
* Scale Optimization in Topographic and Hydrographic Feature Mapping Using Fractal Analysis
* Scale parameter selection by spatial statistics for GeOBIA: Using mean-shift based multi-scale segmentation as an example
* Scale preserving PTZ tracking with size estimation using tilt sensory data
* Scale Preserving Smoothing of Polygons
* Scale Properties of Curvature and Torsion Zero-Crossings
* Scale Proportionate Histograms of Oriented Gradients for Object Detection in Co-Registered Visual and Range Data
* Scale Pyramid Network for Crowd Counting
* Scale ratio ICP for 3D point clouds with different scales
* Scale Recovery for Monocular Visual Odometry Using Depth Estimated with Deep Convolutional Neural Fields
* Scale recovery in multicamera cluster SLAM with non-overlapping fields of view
* Scale resilient, rotation invariant articulated object matching
* Scale robust deep oriented-text detection network
* Scale Robust Multi View Stereo
* Scale robust point matching-Net: End-to-end scale point matching using Lie group
* Scale selection for anisotropic diffusion filter by Markov random field model
* Scale Selection for Anisotropic Scale-Space: Application to Volumetric Tumor Characterization
* Scale selection for classification of point-sampled 3D surfaces
* Scale Selection for Compact Scale-Space Representation of Vector-Valued Images
* Scale Selection for Differential Operators
* Scale selection for supervised image segmentation
* Scale Selection for the Analysis of Point-Sampled Curves
* Scale Selection for the Analysis of Point Sampled Curves: Extended Report
* scale selection principle for estimating image deformations, A
* Scale Selection Properties of Generalized Scale-Space Interest Point Detectors
* Scale Selection Using 3 Different Representations For Images
* Scale Selection Using Three Different Representations for Images
* Scale Sensitivity of Textural Features
* Scale Space -- Lindeberg References
* Scale Space Analysis and Active Contours for Omnidirectional Images
* Scale Space Analysis by Stabilized Inverse Diffusion Equations
* Scale Space and Edge Detection using Anisotropic Diffusion
* Scale Space and Multi-Scale Techniques
* Scale Space and Variational Methods in Computer Vision
* Scale Space Approach for Automatically Segmenting Words from Historical Handwritten Documents, A
* Scale Space Aspect Graph, The
* Scale Space Based Deformable Template Matching Algorithm, A
* Scale Space Based Grammar for Hand Detection
* Scale Space Binarization Using Edge Information Weighted by a Foreground Estimation
* Scale Space Classification Using Area Morphology
* Scale space clustering evolution for salient region detection on 3D deformable shapes
* Scale Space Computation of Features
* Scale space filtering on spherical pattern
* Scale Space Filtering: A New Approach to Multi-Scale Descriptions
* Scale Space for Camera Invariant Features
* Scale space for central catadioptric systems: Towards a generic camera feature extractor
* Scale Space for Contour Registration Using Minimal Surfaces, A
* Scale Space for Descriptions
* Scale Space for Discrete Images
* Scale Space Graph Representation and Kernel Matching for Non Rigid and Textured 3D Shape Retrieval
* Scale Space Hierarchy of Segments
* Scale Space Hierarchy
* Scale Space Localization, Blur, and Contour-Based Image Coding
* Scale Space Method for Volume Preserving Image Registration, A
* Scale Space Operators on Hierarchies of Segmentations
* Scale Space Radon Transform for Non Overlapping Thick Ellipses Detection
* Scale space Radon transform
* Scale Space Range Image Aspect Graph
* Scale Space Segmentation of Color Images Using Watersheds and Fuzzy Region Merging
* Scale Space Smoothing, Image Feature Extraction and Bessel Filters
* Scale Space Surface Recovery using Binocular Shading and Stereo Information
* Scale space technique for word segmentation in handwritten manuscripts
* Scale Space Theory
* Scale Space Tracking and Deformable Sheet Models for Computational Vision
* Scale space vector fields for symmetry detection
* Scale Space
* Scale Spaces on Lie Groups
* Scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI Data
* Scale Specific and Robust Edge Line Encoding with Linear-Combinations of Gabor Wavelets
* Scale specified single shot multibox detector
* Scale trees for stereo vision
* Scale variance minimization for unsupervised domain adaptation in image segmentation
* Scale Variant Image Pyramids
* Scale weight selection for feature extraction using complex wavelets: A framework
* SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
* SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors
* Scaled-Distance-Transforms and Monotonicity of Autocorrelations
* Scaled-YOLOv4: Scaling Cross Stage Partial Network
* Scaled 360 layouts: Revisiting non-central panoramas
* Scaled and Adaptive Fista Algorithm for Signal-dependent Sparse Image Super-resolution Problems, A
* Scaled and rotated texture classification using a class of basis functions
* Scaled CCR Histogram for Scale-Invariant Texture Classification
* Scaled Euclidean 3D Reconstruction Based on Externally Uncalibrated Cameras
* Scaled fixed-point frequency selective extrapolation for fast image error concealment
* Scaled Heavy-Ball Acceleration of the Richardson-Lucy Algorithm for 3D Microscopy Image Restoration
* Scaled layout recovery with wide field of view RGB-D
* Scaled Motion Dynamics for Markerless Motion Capture
* scaled multigrid optical flow algorithm based on the least RMS error between real and estimated second images, A
* Scaled Reassigned Spectrogram with Perfect Localization for Estimation of Gaussian Functions, The
* Scaled rotation regularization
* ScaleNet: A Shallow Architecture for Scale Estimation
* ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
* ScaleNet: Searching for the Model to Scale
* Scales in natural images and a consequence on their BV norm
* Scalespace Approach to Shape Similarity, A
* Scaling-Based Method for the Rapid Retrieval of FPAR From Fine-Resolution Satellite Data in the Remote-Sensing Trend-Surface Framework, A
* Scaling-Less Newton-Raphson Pipelined Implementation for a Fixed-Point Reciprocal Operator, A
* Scaling-up Disentanglement for Image Translation
* Scaling-up multiobjective evolutionary clustering algorithms using stratification
* Scaling-up Support Vector Machines Using Boosting Algorithm
* Scaling additional contributions to principal components analysis
* Scaling Adversarial Training to Large Perturbation Bounds
* Scaling and Benchmarking Self-Supervised Visual Representation Learning
* Scaling and Cropping of Wavelet-Based Compressed Images in Hidden Domain
* Scaling and Fingerprint Theorems for Zero-Crossings
* Scaling and rotation invariant analysis approach to object recognition based on Radon and Fourier-Mellin transforms
* Scaling Binary Images with the Telescoping Template
* Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image
* Scaling Detection Method for Watermarked MPEG Content
* Scaling digital screen reading with one-shot learning and re-identification
* Scaling effects on spring phenology detections from MODIS data at multiple spatial resolutions over the contiguous United States
* Scaling Egocentric Vision: The Epic Kitchens Dataset
* Scaling functions for landscape pattern metrics derived from remotely sensed data: Are their subpixel estimates really accurate?
* Scaling Gain and Eyeheight While Locomoting in a Large VE
* Scaling Human-Object Interaction Recognition Through Zero-Shot Learning
* Scaling Images and Image Features via the Renormalization Group
* Scaling iterative closest point algorithm for registration of m-D point sets
* Scaling Laws in Image Gradient Fields and Texture Retrieval
* Scaling Local Self-Attention for Parameter Efficient Visual Backbones
* Scaling Multidimensional Inference for Structured Gaussian Processes
* Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching
* Scaling Novel Object Detection with Weakly Supervised Detection Transformers
* Scaling Object Detection by Transferring Classification Weights
* Scaling object recognition: Benchmark of current state of the art techniques
* Scaling of FAPAR from the Field to the Satellite
* Scaling of Plane Figures That Assures Faithful Digitization
* Scaling Open-Vocabulary Image Segmentation with Image-Level Labels
* Scaling Peer-to-Peer Video-on-Demand systems using helpers
* scaling problem in the pattern recognition approach to machine translation, The
* Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains
* Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU
* Scaling the Dynamic Approach to Autonomous Path Planning: Planning Horizon Dynamics
* Scaling the Scattering Transform: Deep Hybrid Networks
* Scaling the Walls of History: The Perils and Pitfalls of Multi-Scale Land Cover Comparison
* Scaling Theorems for Zero-Crossings
* Scaling Theorems for Zero Crossings of Band-Limited Signals
* Scaling Up a Metric Learning Algorithm for Image Recognition and Representation
* Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook
* Scaling up close-range surveys, a challenge for the generalization of as-built data in industrial applications
* Scaling up discrete distribution clustering using ADMM
* Scaling up Ecological Measurements of Coral Reefs Using Semi-Automated Field Image Collection and Analysis
* Scaling Up Generalized Kernel Methods
* Scaling up instance annotation via label propagation
* Scaling up multiprojector immersive displays: the LightTwist project
* Scaling Up Sign Spotting Through Sign Language Dictionaries
* Scaling Up SLIC Superpixels Using a Tile-Based Approach
* Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning
* Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks
* Scaling Up Vision-Language Pretraining for Image Captioning
* Scaling Up Whole-Book Recognition
* Scaling Up Your Kernels to 31X31: Revisiting Large Kernel Design in CNNs
* Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
* Scaling Vision Transformers
* Scallop Detection from Gravel-Seabed Images for Fishery Investigation
* Scallop Detection from Sand-Seabed Images for Fishery Investigation
* Scallop: An open peer-to-peer framework for distributed sensor networks
* Scalloping Suppression for ScanSAR Images Based on Modified Kalman Filter With Preprocessing
* Scalp EEG-Based Automatic Detection of Epileptiform Events via Graph Convolutional Network and Bi-Directional LSTM Co-Embedded Broad Learning System
* Scalp EEG Continuous Space ERD/ERS Quantification
* SCALP: Superpixels with Contour Adherence using Linear Path
* SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning
* SCAM! Transferring Humans Between Images with Semantic Cross Attention Modulation
* SCaMF-RM: A Fused High-Resolution Land Cover Product of the Rocky Mountains
* SCAMS: Simultaneous Clustering and Model Selection
* Scan-Line Forest Growing-Based Hand Segmentation Framework With Multipriority Vertex Stereo Matching for Wearable Devices, A
* Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction
* Scan-Time Corrections for 80-100-min Standardizetd Uptake Volume Ratios to Measure the 18F-AV-1451 Tracer for Tau Imaging
* Scan-to-BIM for the Management of Heritage Buildings: the Case Study Of The Castle of Maredolce (Palermo, Italy)
* Scan-to-BIM vs 3D Ideal Model Hbim: Parametric Tools to Study Domes Geometry
* Scan Angle Impact on Lidar-derived Metrics Used in ABA Models for Prediction of Forest Stand Characteristics: A Grid Based Analysis
* Scan Calibration or Compensation in a Depth Imaging System
* Scan Conversion Algorithms for a Cell Organized Raster Display
* Scan integration as a labelling problem
* Scan interleaving based scalable binary shape coding
* Scan Line Intensity-Elevation Ratio (SLIER): An Airborne LiDAR Ratio Index for Automatic Water Surface Mapping
* Scan line optimization for Tri stereo planetary images
* Scan Planning Optimization for Outdoor Archaeological Sites
* Scan Predictive Vector Quantization of Multispectral Images
* Scan Profiles Based Method For Segmentation And Extraction Of Planar Objects In Mobile Laser Scanning Point Clouds
* Scan rectification for structured light range sensors with rolling shutters
* Scan registration using planar features
* Scan to BIM for 3D Reconstruction of the Papal Basilica of Saint Francis in Assisi in Italy
* SCAN to HBIM-Post Earthquake Preservation: Informative Model as Sentinel at the Crossroads of Present, Past, and Future
* Scan: Learning to Classify Images Without Labels
* SCAN: Self-and-Collaborative Attention Network for Video Person Re-Identification
* Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
* Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
* Scan2Mesh: From Unstructured Range Scans to 3D Meshes
* ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
* Scandinavian Conference on Image Analysis
* SCANet: A Spatial and Channel Attention based Network for Partial-to-Partial Point Cloud Registration
* SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
* Scanline Algorithms in the JPEG Discrete Cosine Transform Compressed Domain
* Scanline Homographies for Rolling-Shutter Plane Absolute Pose
* Scanline Normalization for MMS Data Measured Under Different Conditions
* Scanline Optimization for Stereo on Graphics Hardware
* Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization
* ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
* Scanned Compound Document Encoding Using Multiscale Recurrent Patterns
* Scanned Document Compression Using Block-Based Hybrid Video Codec
* Scanned Image Descreening With Image Redundancy and Adaptive Filtering
* Scanner-model-based Document Image Improvement
* Scanner Artifact Removal in Simultaneous EEG-fMRI for Epileptic Seizure Prediction
* scanner for computing box dimensions in real time, A
* Scanner identification using spectral noise in the frequency domain
* Scanner Model Identification of Official Documents Using Noise Parameters Estimation in the Wavelet Domain
* Scanner of Heterogeneous Traffic Flow in Smart Cities by an Updating Model of Connected and Automated Vehicles, The
* Scanner parameter estimation using bilevel scans of star charts
* Scanner Sequence Compensation
* ScanNeRF: a Scalable Benchmark for Neural Radiance Fields
* Scanners use light projectors for fast 3-D image reconstruction
* ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image
* ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
* Scanning 2D/3D monocular camera
* Scanning a Document with a Small Camera Attached to a Mouse
* Scanning and animating characters dressed in multiple-layer garments
* Scanning and processing 3D objects for web display
* Scanning Depth of Route Panorama Based on Stationary Blur
* Scanning Electron Microscope-Based Stereo Analysis
* Scanning Electron Microscope image segmentation method for steam generator fouling rate estimation, A
* Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points
* Scanning Imaging Restoration of Moving or Dynamically Deforming Objects
* Scanning Inside Volcanoes with Synthetic Aperture Radar Echography Tomographic Doppler Imaging
* Scanning Laser Radar-Based Target Position Designation for Parking Aid System
* Scanning Led Array Based Volumetric Display
* scanning n-tuple classifier for online recognition of handwritten digits, A
* Scanning of Antonio Gaudi's original images of his draft for a church in Barcelona
* Scanning Order Strategies for Bitplane Image Coding
* Scanning Photogrammetry for Measuring Large Targets in Close Range
* Scanning Photogrammetry, The
* Scanning Pictures the Boustrophedon Way
* Scanning recording type printing method and apparatus for increasing image quality by controlling tone dot locations within image pixels
* Scanning Scallops in 3-D
* Scanning Sensors
* Scanning Singular-Value-Decomposition Method for Restoration of Images with Space-Variant Blur
* Scanning system and calibration method for capturing precise three-dimensional information of objects
* Scanning the Future with New Barcodes
* Scanning the Issue and Beyond: Crowdsourcing for Field Transportation Studies and Services
* Scanning the Issue and Beyond: Parallel Driving With Software Vehicular Robots for Safety and Smartness
* Scanning the Issue and Beyond: Transportation and Mobility Transformation for Smart Cities
* Scanning the Issue
* Scanning the issue: Special issue on emerging medical imaging technology
* Scanning the issue: Special issue on technology and tools for visual perception
* Scanning the issue: Special issue on translating human vision research into engineering technology
* Scanning The Past
* Scanning tomographic acoustic microscopy
* Scanning Tunnels With Two Very High-resolution Laser Devices and A Stacker
* Scanning, Multibeam, Single Photon Lidars for Rapid, Large Scale, High Resolution, Topographic and Bathymetric Mapping
* Scanpath and saliency prediction on 360 degree images
* Scanpath Prediction Via Semantic Representation of the Scene
* ScanpathNet: A Recurrent Mixture Density Network for Scanpath Prediction
* ScanQA: 3D Question Answering for Spatial Scene Understanding
* Scanrefer: 3d Object Localization in RGB-D Scans Using Natural Language
* ScanSAR-to-Stripmap Mode Interferometry Processing Using ENVISAT/ASAR Data
* ScanSoft
* SCAPE: Shape Completion and Animation of People
* Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning
* Scar: Dynamic Adaptation for Person Detection and Persistence Analysis in Unconstrained Videos
* Scarce face recognition via two-layer collaborative representation
* Scarcity-aware spam detection technique for big data ecosystem
* SCARF: A Color Vision System That Tracks Roads and Intersections
* SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation
* Scarf: Semi-automatic Colorization and Reliable Image Fusion
* ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection
* SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search
* SCAT: Stride Consistency with Auto-regressive regressor and Transformer for hand pose estimation
* ScatSimCLR: Self-Supervised Contrastive Learning with Pretext Task Regularization for Small-Scale Datasets
* Scatter-free imaging through biological tissue
* Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
* Scatter Correction Based on GPU-Accelerated Full Monte Carlo Simulation for Brain PET/MRI
* Scatter Correction for Spectral CT Using a Primary Modulator Mask
* Scatter Correction Method for X-Ray CT Using Primary Modulation: Theory and Preliminary Results
* Scatter Correction Techniques in High Resolution Detectors Based on Pspmts and Scintillator Arrays: An Evaluation Study
* Scatter Difference NAP for SVM Speaker Recognition
* Scatter Matrix Based Domain Adaptation for Bi-Temporal Polarimetric SAR Images
* Scatter matrix decomposition for jointly sparse learning
* Scatter Search Particle Filter for 2D Real-Time Hands and Face Tracking
* SCATTER: Selective Context Attentional Scene Text Recognizer
* Scattered Data Interpolation with Multilevel B-Splines
* Scattering-Based Hybrid Networks: An Evaluation and Design Guide
* Scattering-Based Nonlocal Means SAR Despeckling
* Scattering-Model-Based Speckle Filtering of Polarimetric SAR Data
* Scattering-Point-Guided RPN for Oriented Ship Detection in SAR Images
* Scattering and Radiative Properties of Morphologically Complex Carbonaceous Aerosols: A Systematic Modeling Study
* Scattering Centers Detection and Tracking in Refocused Spaceborne SAR Images for Infrastructure Monitoring
* Scattering Characterization of Obliquely Oriented Buildings from PolSAR Data Using Eigenvalue-Related Model
* Scattering Coefficient for Shore-to-Air Bistatic High Frequency (HF) Radar Configurations as Applied to Ocean Observations, The
* Scattering convolutional hidden Markov trees
* Scattering Enhanced Attention Pyramid Network for Aircraft Detection in SAR Images
* Scattering Feature Set Optimization and Polarimetric SAR Classification Using Object-Oriented RF-SFS Algorithm in Coastal Wetlands
* Scattering From Inhomogeneous Dielectric Cylinders With Finite Length
* Scattering From Layered Rough Surfaces: Analytical and Numerical Investigations
* Scattering Intensity Analysis and Classification of Two Types of Rice Based on Multi-Temporal and Multi-Mode Simulated Compact Polarimetric SAR Data
* Scattering Mechanism Extraction by a Modified Cloude-Pottier Decomposition for Dual Polarization SAR
* Scattering Mechanisms for the 'Ear' Feature of Lop Nur Lake Basin
* Scattering Model-Based Frequency-Hopping RCS Reconstruction Using SPICE Methods
* Scattering Model for a Pine Tree Employing VIE With a Broadband MLFMA and Comparison to ICA
* Scattering Networks for Hybrid Representation Learning
* Scattering Parameters and Surface Normals from Homogeneous Translucent Materials Using Photometric Stereo
* Scattering particle characteristics and their effect on pulsed laser measurements of fluid flow: speckle velocimetry vs particle image velocimetry
* Scattering Properties of Non-Gaussian Ocean Surface with the SSA Model Applied to GNSS-R
* scattering similarity based classification scheme for land applications of polarimetric SAR image, A
* Scattering Simulation and Reconstruction of a 3-D Complex Target Using Downward-Looking Step-Frequency Radar
* Scattering Studies for Two-Dimensional Exponential Correlation Textured Rough Surfaces Using Small-Slope Approximation Method
* Scattering tomography using ellipsoidal mirror
* Scattering Transform for Matching Surgically Altered Face Images
* Scattering Transform Framework for Unmixing of Hyperspectral Data
* Scatterometer Backscatter Imaging Using Backus-Gilbert Inversion
* ScatterType: a legible but hard-to-segment CAPTCHA
* SCC: Semantic Context Cascade for Efficient Action Detection
* Scci-hybrid Methods For 2d Curve Tracing
* SCE-Net: Self- and Cross-Enhancement Network for Single-View Height Estimation and Semantic Segmentation
* SceGene: Bio-Inspired Traffic Scenario Generation for Autonomous Driving Testing
* Scenario-based Engineering Process for Reconnaissance, Surveillance, and Target Acquisition
* Scenario-Based Modeling of the On-Board of a Satellite-Based Train Control System With Colored Petri Nets
* Scenario-Based Risk Assessment of Earthquake Disaster Using Slope Displacement, PGA, and Population Density in the Guyuan Region, China
* Scenario-based score fusion for face recognition at a distance
* Scenario-Based Test Automation for Highly Automated Vehicles: A Review and Paving the Way for Systematic Safety Assurance
* Scenario-based video event recognition by constraint flow
* Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction
* Scenario Based Performance Optimisation in Face Verification Using Smart Cards
* Scenario Discovery Using Nonnegative Tensor Factorization
* Scenario Driven In-depth Performance Evaluation of Document Layout Analysis Methods
* Scenario Expression Method for Regional Geological Structures
* Scenario Model Advocating User-Driven Adaptive Document Recognition Systems, A
* Scenario oriented discriminant analysis for still-to-video face recognition
* Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles
* Scenario Planning in Healthcare Development in the VUCA World
* Scenario Recognition from Video Using a Hierarchy of Dynamic Belief Networks
* Scenario Recognition in Airborne Video Imagery
* Scenario Understanding and Motion Prediction for Autonomous Vehicles: Review and Comparison
* Scenarizing CADastre Exquisse: A Crossover between Snoezeling in Hospitals/Domes, and Authoring/Experiencing Soundful Comic Strips
* Scenarizing Metropolitan Views: FlanoGraphing the Urban Spaces
* Scene-Adapted Structured Light
* Scene-Adaptive 1-Pass Variable Bit Rate Video Coding Method for Storage Media, A
* Scene-Adaptive Hierarchical Data Association for Multiple Objects Tracking
* Scene-Adaptive Human Detection with Incremental Active Learning
* Scene-Adaptive Image Acquisition for Focus Stacking
* Scene-Adaptive Instance Modification for Semisupervised Pedestrian Detection
* Scene-Adaptive Off-Road Detection Using a Monocular Camera
* Scene-Adaptive Remote Sensing Image Super-Resolution Using a Multiscale Attention Network
* Scene-adaptive Temporal Stabilisation for Video Colourisation Using Deep Video Priors
* Scene-Adaptive Video Frame Interpolation via Meta-Learning
* Scene-adaptive video partitioning by semantic object tracking
* Scene-Analysis Approach to Remote Sensing, A
* Scene-assisted Point-line Feature Based Visual Slam Method For Autonomous Flight in Unknown Indoor Environments, A
* Scene-Aware Error Modeling of LiDAR/Visual Odometry for Fusion-Based Vehicle Localization
* Scene-aware Generative Network for Human Motion Synthesis
* Scene-aware image dehazing based on sky-segmented dark channel prior
* Scene-aware perceptual video coding
* Scene-Based Augmented Reality Framework for Exhibits, A
* Scene-based automatic image annotation
* Scene-based event detection for baseball videos
* Scene-based image retrieval by transitive matching
* Scene-based low delay HEVC encoding framework based on transparent composite modeling
* Scene-Based Movie Summarization Via Role-Community Networks
* Scene-Based Non-uniformity Correction with Readout Noise Compensation
* Scene-Based Nonuniformity Compensation for Imaging Sensors
* Scene-based nonuniformity correction algorithm based on interframe registration
* Scene-based nonuniformity correction and enhancement: Pixel statistics and subpixel motion
* Scene-based nonuniformity correction using local constant statistics
* Scene-based pedestrian safety performance model in mixed traffic situation
* Scene-Based Shot Change Detection and Comparative Evaluation
* scene-based video watermarking technique using SVMs, A
* Scene-Centered Description from Spatial Envelope Properties
* Scene-Change Aware Dynamic Bandwidth Allocation for Real-Time VBR Video Transmission Over IEEE 802.15.3 Wireless Home Networks
* Scene-Consistent Detection of Feature Points in Video Sequences
* Scene-Context-Dependent Reference-Frame Placement for MPEG Video Coding
* Scene-dependent frequency weighting for subjective quality improvement of MPEG-4 fine-granularity-scalability
* Scene-Dependent Intention Recognition for Task Communication with Reduced Human-Robot Interaction
* Scene-dependent proposals for efficient person detection
* Scene-Domain Active Part Models for Object Representation
* Scene-driven Cues for Viewpoint Classification for Elongated Object Classes
* Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images
* Scene-Graph-Guided message passing network for dense captioning
* Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
* Scene-independent feature- and classifier-based vehicle headlight and shadow removal in video sequences
* Scene-Independent Group Profiling in Crowd
* Scene-Intuitive Agent for Remote Embodied Visual Grounding
* Scene-Referred Color Transfer for Pleasant Imaging on Display, A
* Scene-space Feature Detectors
* Scene-space methods for bayesian inference of 3d shape and motion
* Scene-specific classifier for effective and efficient team sport players detection from a single calibrated camera
* Scene-specific crowd counting using synthetic training images
* scene-specific deformable part-based model for object detection, A
* Scene-Specific Pedestrian Detection for Static Video Surveillance
* Scene-Text-Detection Method Robust Against Orientation and Discontiguous Components of Characters
* Scene-Unified Image Translation For Visual Localization
* Scene Adaptive and Signal Adaptive Quantization for Subband Image and Video Compression Using Wavelets, A
* Scene Adaptive Coder
* Scene Adaptive Hybrid Video Coding Scheme Based on the LOT, A
* Scene Adaptive Online Surveillance Video Synopsis via Dynamic Tube Rearrangement Using Octree
* Scene Adaptive Rate Control in a Distributed Parallel MPEG Video Encoder
* Scene adaptive structured light using error detection and correction
* Scene Aligned Pooling for Complex Video Recognition
* Scene Analysis and Organization of Behavior in Driver Assistance Systems
* Scene Analysis and Picture Grammars
* Scene analysis by integrating primitive segmentation and associative memory
* Scene analysis by mid-level attribute learning using 2D LSTM networks and an application to web-image tagging
* Scene Analysis for An Orange Harvesting Robot
* Scene Analysis for Object Detection in Advanced Surveillance Systems Using Laplacian Distribution Model
* Scene Analysis for Reducing Motion JPEG 2000 Video Surveillance Delivery Bandwidth and Complexity
* Scene Analysis in Support of a Mars Rover
* Scene Analysis in Urban Areas Using a Knowledge-Based Interpretation-System
* Scene Analysis of High Resolution Aerial Scenes
* Scene analysis surveillance system
* Scene Analysis System for the Generation of 3D Models, A
* Scene analysis system
* Scene Analysis Using a Semantic Base for Region Growing
* Scene analysis using an integrated composite neural oscillatory elastic graph matching model
* Scene Analysis Using Appearance-Based Models and Relational Indexing
* Scene Analysis Using Region-Based Constraint Filtering
* Scene Analysis Using Regions
* Scene Analysis Using the Concept of a Model
* Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion
* Scene and viewpoint based visual summarization for landmarks
* Scene appearance model based on spatial prediction
* Scene Aware Detection and Block Assignment Tracking in crowded scenes
* Scene Aware Person Image Generation through Global Contextual Conditioning
* Scene Aware Semantic Crack Segmentation from Oblique Drone Imagery
* Scene background estimation based on temporal median filter with Gaussian filtering
* Scene Background Initialization (SBI) Dataset
* Scene background initialization: A taxonomy
* Scene Background Modeling and Initialization
* Scene based non-uniformity correction in thermal images using Kalman filter
* Scene Boundary Detection Method, A
* Scene Boundary Detection Via Video Self-similarity Analysis
* Scene Break Detection and Classification Using a Block-wise Difference Method
* Scene captioning with deep fusion of images and point clouds
* Scene Capture and Selected Codebook-Based Refined Fuzzy Classification of Large High-Resolution Images
* Scene Carving: Scene Consistent Image Retargeting
* Scene categorization based on local-global feature fusion and multi-scale multi-spatial resolution encoding
* Scene Categorization by Deeply Learning Gaze Behavior in a Semisupervised Context
* Scene Categorization by Introducing Contextual Information to the Visual Words
* Scene Categorization From Contours: Medial Axis Based Salience Measures
* Scene categorization towards urban tunnel traffic by image quality assessment
* Scene categorization using bag of Textons on spatial hierarchy
* Scene Categorization Using Deeply Learned Gaze Shifting Kernel
* Scene categorization via contextual visual words
* Scene Categorization with Classified Codebook Model
* Scene Categorization with Spectral Features
* Scene Change Aware Intra-Frame Rate Control for H.264/AVC
* Scene change detecting method for video and movie
* Scene Change Detection Algorithm for MPEG Video Sequence
* Scene Change Detection Based on Audio-Visual Analysis and Interaction
* Scene Change Detection in a MPEG Compressed Video Sequence
* Scene change detection in encrypted video bit streams
* Scene change detection method using two-dimensional DP matching, and image processing apparatus for implementing the method
* Scene change detection system and method
* Scene change detection using DC coefficients
* Scene change detection
* Scene change detector for detecting a scene change of a moving picture
* Scene change detector for digital video
* Scene change detector
* Scene Changes Understanding Framework Based on Graph Convolutional Networks and Swin Transformer Blocks for Monitoring LCLU Using High-Resolution Remote Sensing Images
* Scene character detection and recognition based on multiple hypotheses framework
* Scene Character Detection and Recognition with Cooperative Multiple-Hypothesis Framework
* Scene Character Detection by an Edge-Ray Filter
* Scene Character Recognition Using Coupled Spatial Learning
* Scene Character Reconstruction through Medial Axis
* Scene Chronology
* Scene classification-oriented saliency detection via the modularized prescription
* Scene Classification Based on a Deep Random-Scale Stretched Convolutional Neural Network
* Scene Classification Based on Heterogeneous Features of Multi-Source Data
* Scene classification based on local autocorrelation of similarities with subspaces
* Scene Classification Based on Multi-resolution Orientation Histogram of Gabor Features
* Scene Classification Based on Multiscale Convolutional Neural Network
* Scene Classification Based on the Fully Sparse Semantic Topic Model
* Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery
* Scene Classification Based On The Semantic-feature Fusion Fully Sparse Topic Model For High Spatial Resolution Remote Sensing Imagery
* Scene Classification Based on the Sparse Homogeneous-Heterogeneous Topic Feature Model
* Scene Classification by Feature Co-occurrence Matrix
* Scene Classification by Fuzzy Local Moments
* Scene classification for remote sensing images with self-attention augmented CNN
* Scene classification from dense disparity maps in indoor environments
* Scene Classification from Synthetic Aperture Radar Images Using Generalized Compact Channel-Boosted High-Order Orderless Pooling Network
* Scene classification in compressed and constrained domain
* Scene classification of images and video via semantic segmentation
* Scene Classification of Remote Sensing Images Based on Convnet Features and Multi-Grained Forest
* Scene classification of SAR images acquired from antiparallel tracks using evidential and rule-based fusion
* Scene Classification Using a Hybrid Generative/Discriminative Approach
* Scene classification using a multi-resolution bag-of-features model
* Scene Classification Using Bag-of-Regions Representations
* Scene Classification Using Candidate Classes Selection with Particle Filter and Criterion Mining for Final Decision with AdaBoost
* Scene Classification Using Generalized Local Correlation
* Scene Classification Using Hierarchical Wasserstein CNN
* Scene Classification Using Local Co-occurrence Feature in Subspace Obtained by KPCA of Local Blob Visual Words
* Scene Classification Using Spatial Pyramid of Latent Topics
* Scene Classification via a Gradient Boosting Random Convolutional Network Framework
* Scene Classification via Hypergraph-Based Semantic Attributes Subnetworks Identification
* Scene Classification Via pLSA
* Scene Classification with a Biologically Inspired Method
* Scene classification with low-dimensional semantic spaces and weak supervision
* Scene Classification With Recurrent Attention of VHR Remote Sensing Images
* Scene classification with semantic Fisher vectors
* Scene Collages and Flexible Camera Arrays
* Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers
* Scene Completion using Millions of Photographs
* Scene Complexity: A New Perspective on Understanding the Scene Semantics of Remote Sensing and Designing Image-Adaptive Convolutional Neural Networks
* Scene conditional background update for moving object detection in a moving camera
* Scene Consistency Representation Learning for Video Scene Segmentation
* Scene Constraints-Aided Tracking of Human Body
* Scene Constraints for Direct Single Image Orientation with Selfdiagnosis
* Scene content driven FEC allocation for video streaming
* Scene Context-Aware Salient Object Detection
* Scene Context-Driven Vehicle Detection in High-Resolution Aerial Images
* Scene Context Enhanced Network for Person Search
* Scene Context Modeling for Foreground Detection from a Scene in Remote Monitoring
* Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
* Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization
* Scene cut detection using the colored pattern appearance model
* Scene Cut: Class-Specific Object Detection and Segmentation in 3D Scenes
* Scene depth extraction from Holoscopic Imaging technology
* Scene Depth Perception Based on Omnidirectional Structured Light
* Scene Depth Profiling Using Helmholtz Stereopsis
* Scene Description for Object Manipulation in Unstructured Environments
* Scene Description Method Using Three Dimensional Information, A
* Scene Description Using Range Data
* Scene Designer: A Unified Model for Scene Search and Synthesis from Sketch
* Scene detection in Hollywood movies and TV shows
* Scene Detection in Videos Using Shot Clustering and Sequence Alignment
* Scene Discovery by Matrix Factorization
* Scene Dynamics Estimation for Parameter Adjustment of Gaussian Mixture Models
* Scene Essence
* Scene estimation from speckled synthetic aperture radar imagery: Markov-random-field approach
* Scene extraction in motion pictures
* Scene flow by tracking in intensity and depth data
* Scene flow constrained multi-prior patch-sweeping for real-time upper body 3D reconstruction
* Scene flow estimation by depth map upsampling and layer assignment for camera-LiDAR system
* Scene flow estimation by growing correspondence seeds
* Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm
* Scene flow estimation through 3D analysis of multi-focus images
* Scene Flow Estimation using Intelligent Cost Functions
* Scene flow for 3D laser scanner and camera system
* Scene Flow from Depth and Color Images
* Scene Flow from Point Clouds with or without Learning
* Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks
* Scene Flow, Depth Image Flow, RGB-D
* Scene generative models for adaptive video fast forward
* Scene geometric recognition from monocular image
* Scene geometry from moving objects
* Scene Gist: A Holistic Generative Model of Natural Image
* Scene Grammar in Human and Machine Recognition of Objects and Scenes
* Scene graph captioner: Image captioning based on structural visual representation
* Scene Graph Construction, Scene Graph Generation
* Scene Graph Contextualization in Visual Commonsense Reasoning
* Scene Graph Expansion for Semantics-Guided Image Outpainting
* Scene Graph Generation by Iterative Message Passing
* Scene Graph Generation from Objects, Phrases and Region Captions
* Scene Graph Generation With External Knowledge and Image Reconstruction
* Scene Graph Inference via Multi-Scale Context Modeling
* Scene Graph Prediction With Limited Labels
* Scene Graph Representation and Learning
* Scene Graph To Image Generation with Contextualized Object Layout Refinement
* Scene Identification using Discriminative Patterns
* Scene illuminant classification: brighter is better
* Scene image and human skeleton-based dual-stream human action recognition
* Scene image categorization and video event detection using Naive Bayes Nearest Neighbor
* Scene image segmentation based on Perceptual Organization
* Scene Independency Matters: An Empirical Study of Scene Dependent and Scene Independent Evaluation for CNN-Based Change Detection
* Scene Interpretation Based on Boundary Representations of Stereo Images
* Scene Interpretation by Fusion of Segment and Region Information
* Scene Interpretation Module For An Active Vision System, A
* Scene Interpretation: Unified Modeling of Visual Context by Particle-Based Belief Propagation in Hierarchical Graphical Model
* Scene Intrinsics and Depth from a Single Image
* Scene invariant crowd counting using multi-scales head detection in video surveillance
* Scene Invariant Crowd Counting
* Scene invariant multi camera crowd counting
* Scene Invariant Virtual Gates Using DNNs
* Scene Labeling by Relaxation Operations
* Scene Labeling Using Beam Search under Mutex Constraints
* Scene Labeling Using Sparse Precision Matrix
* Scene labeling with LSTM recurrent neural networks
* Scene Labeling: An Optimization Approach
* Scene masking is affected by trial blank-screen luminance
* scene matching algorithm based on SURF feature, A
* Scene Matching by Defocused Images
* Scene Matching by Hierarchical Correlation
* Scene Matching with Invariant Moments
* Scene Matching with Translation Invariant Transforms
* Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
* Scene model for video traffic analysis
* Scene modeling and change detection in dynamic scenes: A subspace approach
* Scene modeling based on constraint system decomposition techniques
* Scene Modeling for Wide Area Surveillance and Image Synthesis
* Scene Modeling from Motion-Free Radar Sensing
* Scene modeling in global-local view for scene classification
* Scene Modeling Using Co-Clustering
* Scene Modeling: A Structural Basis for Image Description
* Scene modelling from sparse 3D data
* Scene modelling using an adaptive mixture of Gaussians in colour and space
* Scene Parsing and Fusion-Based Continuous Traversable Region Formation
* Scene Parsing by Integrating Function, Geometry and Appearance Models
* Scene parsing by nonparametric label transfer of content-adaptive windows
* Scene Parsing From an MAP Perspective
* Scene Parsing through ADE20K Dataset
* Scene parsing using graph matching on street-view data
* Scene parsing using inference Embedded Deep Networks
* Scene Parsing Using Region-Based Generative Models
* Scene Parsing Via Dense Recurrent Neural Networks With Attentional Selection
* Scene Parsing via Integrated Classification Model and Variance-Based Regularization
* Scene Parsing with Global Context Embedding
* Scene Parsing With Integration of Parametric and Non-Parametric Models
* Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors
* Scene Parsing with Object Instances and Occlusion Ordering
* Scene Particles: Unregularized Particle-Based Scene Flow Estimation
* Scene Partitioning via Statistic-Based Region Growing
* Scene Perception and Recognition for Human-Robot Co-operation
* Scene Perception and Recognition in Industrial Environments for Human-Robot Interaction
* Scene point constraints in camera auto-calibration: An implementational perspective
* Scene Recognition and Navigation Capabilities for Lane Changes and Turns in Vision-Based Vehicle Guidance
* Scene recognition and weakly supervised object localization with deformable part-based models
* Scene recognition based on phase gradient InSAR images
* Scene recognition based on relationship between human actions and objects
* Scene recognition by jointly modeling latent topics
* Scene recognition by semantic visual words
* Scene Recognition for Blind Spot via Road Safety Mirror and In-Vehicle Camera
* Scene Recognition for Indoor Localization of Mobile Robots Using Deep CNN
* Scene Recognition Invariant to Symmetrical Reflections and Illumination Conditions in Robotics
* Scene Recognition Mechanism for Service Robot Adapting Various Families: A CNN-Based Approach Using Multi-Type Cameras
* Scene Recognition on the Semantic Manifold
* Scene Recognition Using Alexnet to Recognize Significant Events Within Cricket Game Footage
* Scene Recognition Using Genetic Algorithms with Semantic Nets
* Scene recognition using quantitative measurement of intensity flicker
* Scene Recognition with CNNs: Objects, Scales and Dataset Bias
* Scene Recognition with Naive Bayes Non-linear Learning
* Scene recognition with objectness
* Scene Recognition With Prototype-Agnostic Scene Layout
* Scene recognition: A comprehensive survey
* Scene Recomposition by Learning-Based ICP
* Scene Reconstruction and Description: Geometric Primitive Extraction from Multiple View Scattered Data
* Scene Reconstruction and Visualization From Community Photo Collections
* Scene Reconstruction from Community Photo Collections
* Scene Reconstruction From Images
* Scene Reconstruction from Multiple Cameras
* Scene Reconstruction from Multiple Uncalibrated Views
* Scene reconstruction from partially overlapping images with use of composite filters
* Scene Reconstruction Research: Towards an Automatic System
* Scene Reconstruction Using MRF Optimization with Image Content Adaptive Energy Functions
* Scene Reconstruction with Functional Objects for Robot Autonomy
* Scene Reconstruction with Sparse Range Information
* Scene recovery from many randomly distributed single pixel cameras
* Scene Registration in Aerial Image Analysis
* Scene Representation Based on Multi-Modal 2D and 3D Features, A
* Scene Representation in Bird's-Eye View from Surrounding Cameras with Transformers
* Scene Representation Learning from Videos Using Self-Supervised and Weakly-Supervised Techniques
* Scene Representation Technologies for 3DTV: A Survey
* Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
* Scene Representation Using the Adjacency Matrix and Sampled Shapes of Regions
* Scene retrieval by unsupervised salient part discovery
* Scene Retrieval for Video Summarization Based on Text-to-Image GAN
* Scene Retrieval of Natural Images
* Scene sampling for the concentric mosaics technique
* Scene Segmentation-Based Luminance Adjustment for Multi-Exposure Image Fusion
* Scene Segmentation and Categorization Using NCuts
* Scene Segmentation and Segment Clustering Experiments
* Scene Segmentation and Semantic Representation for High-Level Retrieval
* Scene Segmentation and Volumetric Descriptions of SHGCs from a Single Intensity Image
* Scene Segmentation Assisted by Stereo Vision
* Scene segmentation based on video structure and spectral methods
* Scene Segmentation by Cluster Detection in Color Space
* Scene Segmentation by Velocity Measurements Obtained with a Cross-Shaped Template
* Scene Segmentation Driven by Deep Learning and Surface Fitting
* Scene Segmentation for Behaviour Correlation
* Scene Segmentation from 3D Motion
* Scene segmentation from dense displacement vector fields using randomized Hough transform
* Scene segmentation from depth and color data driven by surface fitting
* Scene Segmentation from Visual Motion Using Global Optimization
* Scene Segmentation in Adverse Vision Conditions
* Scene Segmentation in Automated Histopathology: Techniques Evolved from Cytology Automation
* Scene Segmentation Using a Combined Criterion of Motion and Intensity
* Scene Segmentation Using Motion Information
* Scene Segmentation Using the Wisdom of Crowds
* Scene Segmentation with DAG-Recurrent Neural Networks
* Scene Semantic Understanding Based on the Spatial Context Relations of Multiple Objects
* Scene Semantics from Long-Term Observation of People
* Scene shape estimation from multiple partly cloudy days
* Scene shape from texture of objects
* Scene shape priors for superpixel segmentation
* Scene Signatures for Unconstrained News Video Stories
* Scene specific people detection by simple human interaction
* Scene statistics of authentically distorted images in perceptually relevant color spaces for blind image quality assessment
* Scene structure analysis for sprint sports
* Scene structure recovery from a single omnidirectional image
* Scene Summarization for Online Image Collections
* Scene Synthesis by Assembling Striped Areas of Source Images
* Scene Synthesis via Uncertainty-Driven Attribute Synchronization
* Scene table structure recognition with segmentation collaboration and alignment
* Scene Text Character Recognition Using Spatiality Embedded Dictionary
* Scene Text Deblurring Using Text-Specific Multiscale Dictionaries
* Scene text detection and recognition with advances in deep learning: A survey
* Scene Text Detection and Recognition: The Deep Learning Era
* Scene Text Detection and Segmentation Based on Cascaded Convolution Neural Networks
* Scene Text Detection and Tracking for a Camera-Equipped Wearable Reading Assistant for the Blind
* Scene text detection based on component-level fusion and region-level verification
* Scene text detection based on multi-scale SWT and edge filtering
* Scene Text Detection Based on Robust Stroke Width Transform and Deep Belief Network
* Scene text detection based on skeleton-cut detector
* Scene text detection method based on the hierarchical model
* Scene text detection suitable for parallelizing on multi-core
* Scene text detection using adaptive color reduction, adjacent character model and hybrid verification strategy
* Scene text detection using graph model built upon maximally stable extremal regions
* Scene text detection using sequential nontext filtering
* Scene text detection using sparse stroke information and MLP
* Scene Text Detection Using Superpixel-Based Stroke Feature Transform and Deep Learning Based Region Classification
* Scene Text Detection via Connected Component Clustering and Nontext Filtering
* Scene Text Detection via Deep Semantic Feature Fusion and Attention-based Refinement
* Scene Text Detection via Integrated Discrimination of Component Appearance and Consensus
* Scene text detection via stroke width
* Scene Text Detection with Adaptive Line Clustering
* Scene text detection with extremal region based cascaded filtering
* Scene Text Detection with Recurrent Instance Segmentation
* Scene text detection with robust character candidate extraction method
* Scene Text Detection with Selected Anchors
* Scene text detection with superpixels and hierarchical model
* Scene Text Extraction and Translation for Handheld Devices
* Scene text extraction based on edges and support vector regression
* Scene Text Extraction by Superpixel CRFs Combining Multiple Character Features
* Scene Text Extraction in Complex Images
* Scene text extraction in natural scene images using hierarchical feature combining and verification
* Scene Text Extraction Using Focus of Mobile Camera
* Scene Text Extraction with Edge Constraint and Text Collinearity
* Scene text extraction with local symmetry transform
* Scene Text Identification by Leveraging Mid-level Patches and Context Information
* Scene Text Image Super-Resolution in the Wild
* Scene Text Localization and Recognition with Oriented Stroke Detection
* Scene Text Localization Using Gradient Local Correlation
* Scene Text Recognition and Retrieval for Large Lexicons
* Scene text recognition by learning co-occurrence of strokes based on spatiality embedded dictionary
* Scene Text Recognition in Mobile Applications by Character Descriptor and Structure Configuration
* Scene text recognition using a Hough forest implicit shape model and semi-Markov conditional random fields
* Scene Text Recognition Using Co-occurrence of Histogram of Oriented Gradients
* Scene Text Recognition using Higher Order Language Priors
* Scene Text Recognition Using Part-Based Tree-Structured Character Detection
* Scene text recognition using residual convolutional recurrent neural network
* Scene Text Recognition Using Similarity and a Lexicon with Sparse Belief Propagation
* Scene text recognition using sparse coding based features
* Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge
* Scene Text Recognition with a Hough Forest Implicit Shape Model
* Scene text recognition with CNN classifier and WFST-based word labeling
* Scene text recognition with deeper convolutional neural networks
* Scene Text Recognition with Permuted Autoregressive Sequence Models
* Scene Text Recognition with Self-supervised Contrastive Predictive Coding
* Scene Text Recognition: No Country for Old Men?
* Scene text rectification using glyph and character alignment properties
* Scene Text Retrieval via Joint Text Detection and Similarity Learning
* Scene Text Script Identification with Convolutional Recurrent Neural Networks
* Scene Text Segmentation Based on Local Image Phase Information and MSER Method
* Scene Text Segmentation via Inverse Rendering
* Scene Text Segmentation with Multi-level Maximally Stable Extremal Regions
* Scene Text Telescope: Text-Focused Scene Image Super-Resolution
* Scene Text Visual Question Answering
* Scene Text, Assistance for Visually Imapired
* Scene tracker using multiple independent correlators
* Scene transformation for detector adaptation
* Scene Understanding and Activity Recognition
* Scene understanding and behaviour analysis
* Scene Understanding by Labeling Pixels
* Scene Understanding by Reasoning Stability and Safety
* Scene Understanding by Rule Evaluation
* Scene understanding by statistical modeling of motion patterns
* Scene Understanding for Auto-Calibration of Surveillance Cameras
* Scene Understanding from Propagation and Consistency of Polarization-Based Constraints
* Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles
* Scene Understanding Networks for Autonomous Driving Based on Around View Monitoring System
* Scene Understanding Systems
* Scene Understanding through Autonomous Interactive Perception
* Scene understanding with discriminative structured prediction
* Scene warping: Layer-based stereoscopic image resizing
* Scene wireframes sketching for Unmanned Aerial Vehicles
* SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning
* SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans
* SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations
* SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences
* SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation
* SceneFormer: Indoor Scene Generation with Transformers
* SceneGen: Learning to Generate Realistic Traffic Scenes
* SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences
* SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
* SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry
* SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation?
* SceneNet: A Perceptual Ontology for Scene Understanding
* SceneNet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search
* SceneNN: A Scene Meshes Dataset with aNNotations
* Scenery Character Detection with Environmental Context
* Scenery image recognition and interpretation using fuzzy inference neural networks
* Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset
* Scenes Design in Virtual Reality for Depression Assessment
* Scenes vs. objects: A comparative study of two approaches to context based recognition
* SceneSketcher-v2: Fine-Grained Scene-Level Sketch-Based Image Retrieval Using Adaptive GCNs
* Scenesketcher: Fine-grained Image Retrieval with Scene Sketches
* SceneSqueezer: Learning to Compress Scene for Camera Relocalization
* Scenic Railway Mapping: An Analysis of Spatial Patterns in France Based on Historical GIS
* SCENIC: A JAX Library for Computer Vision Research and Beyond
* ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning
* SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
* Scfnet: A Spatial-channel Features Network Based on Heterocentric Sample Loss for Visible-infrared Person Re-identification
* SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion
* SCG: Saliency and Contour Guided Salient Instance Segmentation
* SCGAN: Saliency Map-Guided Colorization with Generative Adversarial Network
* SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services
* Schedule-Based Model for Passenger-Oriented Train Planning With Operating Cost and Capacity Constraints, A
* Schedule-based Pathfinding Algorithm for Transit Networks Using Pattern First Search, A
* Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
* Scheduled sampling for one-shot learning via matching network
* Scheduling-Guided Automatic Processing of Massive Hyperspectral Image Classification on Cloud Computing Architectures
* Scheduling-measure dependent modelling of delay propagation on a single railway line: A matrix transformation approach
* Scheduling a Fleet of Drones for Monitoring Missions With Spatial, Temporal, and Energy Constraints
* Scheduling and Power Control for Connectivity Enhancement in Multi-Hop I2V/V2V Networks
* Scheduling and Resource Allocation for SVC Streaming Over OFDM Downlink Systems
* Scheduling and Routing of AMOs in an Intelligent Transport System
* Scheduling of Image Processing Using Anytime Algorithm for Real-time System
* Scheduling Online EV Charging Demand Response via V2V Auctions and Local Generation
* scheduling scheme for multiplexing of VBR sources in digital TV systems, A
* Scheduling the Operation of a Connected Vehicular Network Using Deep Reinforcement Learning
* Scheimpflug and high-resolution Magnetic Resonance Imaging of the anterior segment: a comparative study
* Schema For Extraction Of Indoor Pedestrian Navigation Grid Network From Floor Plans, A
* Schema System, The
* Schematic classification problems and their solution
* Schematic storyboarding for video visualization and editing
* Schematic surface reconstruction
* Scheme for 'The Window of Taiwan National Park', A
* Scheme for 3D Object Reconstruction from Dimensioned Orthographic Views, A
* Scheme for Characterizing Clutter Statistics in SAR Amplitude Images by Combining Two Parametric Models
* Scheme for Coherence-Enhancing Diffusion Filtering with Optimized Rotation Invariance, A
* scheme for conditional access-based systems using index locations of DCT coefficients, A
* Scheme for Enhancing Security Using Multiple Fingerprints and the Fuzzy Vault, A
* Scheme for Initial Exploratory Data Analysis of Multivariate Image Data, A
* Scheme for Intelligent Image Retrieval in Multimedia Databases, A
* Scheme for Joint Watermarking and Compression of Video, A
* Scheme for Quickly Simulating Extraterrestrial Solar Radiation over Complex Terrain on a Large Spatial-Temporal Span: A Case Study over the Entirety of China, A
* scheme for reconstructing face from shading using smooth projected polygon representation NN, A
* Scheme for Road Extraction in Rural Areas and its Evaluation, A
* scheme for spatial scalability using nonscalable encoders, A
* Scheme for the Detection and Tracking of People Tuned for Aerial Image Sequences, A
* Scheme for the Long-Term Monitoring of Impervious-Relevant Land Disturbances Using High Frequency Landsat Archives and the Google Earth Engine, A
* Scheme for unsupervised colour-texture image segmentation using neutrosophic set and non-subsampled contourlet transform
* scheme of colour image retrieval from databases, A
* Scheme of Parameter Estimation for Generalized Gamma Distribution and Its Application to Ship Detection in SAR Images
* Scheme of Polarimetric Superresolution for Multitarget Detection and Localization, A
* Scheme of Reversible Data Hiding for the Encryption-Then-Compression System, A
* SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis
* SChISM: Semantic Clustering via Image Sequence Merging for Images of Human-Decomposition
* Schistosome egg recognition using the top-down search strategy
* School bus obstacle detection device
* School Commuting Mode Shift: A Scenario Analysis for Active School Commuting Using GIS and Online Map API
* School level recognition from children's drawings and writings
* School Location Analysis by Integrating the Accessibility, Natural and Biological Hazards to Support Equal Access to Education
* School Mapping And Geospatial Analysis Of The Schools In Jasra Development Block Of India
* Schrödinger Diffusion for Shape Analysis with Texture
* Schrödinger distance transform (SDT) for point-sets and curves, The
* Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions, A
* Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis, A
* Schroedinger Eigenmaps for the Analysis of Biomedical Data
* Schurmann-polynomials: Roots and offsprings their impact on today's pattern recognition
* Schwarps: Locally Projective Image Warps Based on 2D Schwarzian Derivatives
* Schwarz Representation for Matching and Similarity Analysis
* Schwarzschild Harmonic Path Planning and Tetrahedral Mesh Smoothing
* Schwerpunktheft zur Photogrammetrie an der Universität Bonn
* SCIA
* Science Autonomy for Rover Subsurface Exploration of the Atacama Desert
* Science of Color, The
* Science of Fingerprints (Classification and Uses), The
* Science of Imaging, Second Edition, The
* Science of Landsat Analysis Ready Data
* Science
* ScienceEarth: A Big Data Platform for Remote Sensing Data Processing
* Scientific American
* Scientific Astrophotography: How Amateurs Can Generate and Use Professional Imaging Data
* Scientific Challenges and Present Capabilities in Underwater Robotic Vehicle Design and Navigation for Oceanographic Exploration Under-Ice
* Scientific Charge-Coupled Devices
* Scientific Document Summarization using Citation Context and Multi-objective Optimization
* Scientific Evidence from Space: A Review of Spaceborne Remote Sensing Applications at the Science-Policy Interface
* Scientific Investigation on Movable Cultural Heritage
* Scientific Operations of Snow Eagle 601 in Antarctica in the Past Five Austral Seasons, The
* Scientific papers citation analysis using textual features and SMOTE resampling techniques
* Scientific Papers on Computer Vision
* Scientist's Idealism versus User's Realism on Radarsat-2 HR Stereo Capability without GCP: Two Cases over North and Arctic Sites in Canada
* Scientist and Engineer's Guide to Digital Signal Processing, The
* Scientists Develop Camera Made of Fabric
* Scientometric Analysis for Spatial Autocorrelation-Related Research from 1991 to 2021
* Scientometric Full-Text Analysis of Papers Published in Remote Sensing between 2009 and 2021
* scientometric review of research on traffic forecasting in transportation, A
* Scientometric Visualization Analysis for Night-Time Light Remote Sensing Research from 1991 to 2016, A
* SCILAIM: A Multi-Level Interactive Image Processing Environment
* ScilImage: an environment for collaborative use and development of image processing software
* SCINet: Semantic Cue Infusion Network for Lane Detection
* SCK: A Sparse Coding Based Key-Point Detector
* Sclera Recognition: A Survey
* Sclera recognition: on the quality measure and segmentation of degraded images captured under relaxed imaging conditions
* Sclera Segmentation in Face Images Using Image Foresting Transform
* SCLS: Multi-label feature selection based on scalable criterion for large label set
* SCM: A Searched Convolutional Metaformer for SAR Ship Classification
* SCMDOT: Spatial Clustering with Multiple Density-Ordered Trees
* SCMNet: Shared Context Mining Network for Real-time Semantic Segmentation
* SCNet: Learning Semantic Correspondence
* SCNN: Sequential convolutional neural network for human action recognition in videos
* SCOAD: Single-Frame Click Supervision for Online Action Detection
* SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images
* SCoBeP: Dense image registration using sparse coding and belief propagation
* SCoBi-Veg: A Generalized Bistatic Scattering Model of Reflectometry From Vegetation for Signals of Opportunity Applications
* SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections
* SCOD: Dynamical Spatial Constraints for Object Detection
* SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection
* SConE: Siamese Constellation Embedding Descriptor for Image Matching
* SCOOP: A Real-Time Sparsity Driven People Localization Algorithm
* Scoot: A Perceptual Metric for Facial Sketches
* SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra
* Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator, The
* Scope of Motion Research: From Image Intensity Changes to Semantic Abstraction, The
* Scope of Video Magnification in Human Pulse Rate Estimation
* ScopeFlow: Dynamic Scene Scoping for Optical Flow
* ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
* Scoprion Vision Software
* SCOPS: Self-Supervised Co-Part Segmentation
* Score-Based Point Cloud Denoising
* Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
* Score-Informed Source Separation for Musical Audio Recordings: An overview
* Score-Level Fusion Benchmark Database for Biometric Authentication, A
* Score-level fusion for cancelable multi-biometric verification
* Score-level fusion in multiple biometrics using non-linear classification
* score-level fusion method with prior knowledge for fingerprint matching, A
* Score-Level Fusion of Face and Voice Using Particle Swarm Optimization and Belief Functions
* Score-level fusion of fingerprint and face matchers for personal verification under stress conditions
* Score-level fusion using generalized extreme value distribution and DSmT, for multi-biometric systems
* Score-Level Multibiometric Fusion Based on Dempster-Shafer Theory Incorporating Uncertainty Factors
* Score-Oriented Loss (SOL) functions
* Score based biometric template selection
* score based indexing scheme for palmprint databases, A
* score calculation method using positional information of feature points for biometric authentication, A
* Score calibration in face recognition
* Score Decidability Index for Dynamic Score Combination, A
* Score Fusion by Maximizing the Area under the ROC Curve
* Score Fusion in Multibiometric Identification Based on Fuzzy Set Theory
* Score Fusion of SVD and DCT-RLDA for Face Recognition
* score level fusion method for eye movement biometrics, A
* Score Level Fusion of Ear and Face Local 3D Features for Fast and Expression-Invariant Human Recognition
* Score level fusion of multimodal biometrics using triangular norms
* Score level fusion of voting strategy of geometric hashing and SURF for an efficient palmprint-based identification
* Score Level Fusion Scheme in Hybrid Multibiometric System
* Score normalization in multimodal biometric systems
* Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution
* Score reliability based weighting technique for score-level fusion in multi-biometric systems
* Score Selection Techniques for Fingerprint Multi-modal Biometric Authentication
* Score thresholding for accurate instance classification in multiple instance learning
* Score to Learn: A Comparative Analysis of Scoring Functions for Active Learning in Robotics
* ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data
* ScoreNet: deep cascade score level fusion for unconstrained ear recognition
* ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
* Scores Selection for Emotional Speaker Recognition
* Scoring disease-microRNA associations by integrating disease hierarchy into graph convolutional networks
* ScoringNet: Learning Key Fragment for Action Quality Assessment with Ranking Loss in Skilled Sports
* SCORPIUS: Final Report
* SCoRS: A Method Based on Stability for Feature Selection and Apping in Neuroimaging
* Scotopic Visual Recognition
* Scottish Imaging Network: SINAPSE
* Scottish Ten Project: Collaborative Heritage Documentation, The
* Scout: a game speed analysis and tracking system
* SCOUT: Self-Aware Discriminant Counterfactual Explanations
* Scout3d: An Underwater Laser Scanning System for Mobile Mapping
* SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
* SCPNet: Self-constrained parallelism network for keypoint-based lightweight object detection
* SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-identification
* ScPnP: A non-iterative scale compensation solution for PnP problems
* ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
* Scrambling-based tool for secure protection of JPEG images
* Scrambling Cryptography Using Programmable SLM-Based Filter for Video Streaming Over a WDM Network
* Scrambling faces for privacy protection using background self-similarities
* Scrambling for Privacy Protection in Video Surveillance Systems
* Scrambling for Video Surveillance with Privacy
* scrambling method for Motion JPEG videos enabling moving objects detection from scrambled videos, A
* SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter
* Scraping Textures from Natural Images for Synthesis and Editing
* Scratch Assay Analysis with Topology-Preserving Level Sets and Texture Measures
* Scratch Detection and Removal from Static Images Using Simple Statistics and Genetic Algorithms
* Scratch detection supported by coherency analysis of motion vector fields
* Scratch detection via underdamped harmonic motion
* SCRATCH: A Scalable Discrete Matrix Factorization Hashing Framework for Cross-Modal Retrieval
* ScratchDet: Training Single-Shot Object Detectors From Scratch
* Scratching Beneath the Surface: A Model to Predict the Vertical Distribution of Prochlorococcus Using Remote Sensing
* SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
* SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
* Scream and gunshot detection and localization for audio-surveillance systems
* Screen-based active user authentication
* Screen-Based Watermarking of Aperiodic, Clustered-Dot Halftones
* Screen-Camera Calibration using a Spherical Mirror
* Screen-camera calibration using a thread
* Screen-Camera Calibration Using Gray Codes
* Screen-Light Decomposition Framework for Point-of-Gaze Estimation Using a Single Uncalibrated Camera and Multiple Light Sources
* Screen-rendered text images recognition using a deep residual network based segmentation-free method
* screen-shooting resilient document image watermarking scheme using deep neural network, A
* Screen-shooting resistant image watermarking based on lightweight neural network in frequency domain
* Screen-space Regularization on Differentiable Rasterization
* Screen-strategy analysis in broadcast basketball video using player tracking
* Screen Content Coding Based on HEVC Framework
* Screen content coding for HEVC by improved line-based intra block copy
* Screen Content Coding in Recently Developed Video Coding Standards
* Screen Content Compression Based on Enhanced Soft Context Formation
* Screen content image quality assessment based on convolutional neural networks
* Screen content image quality assessment using distortion-based directional edge and gradient similarity maps
* Screen content image quality assessment using edge model
* Screen Content Image Quality Assessment Using Multi-Scale Difference of Gaussian
* Screen content image quality assessment via convolutional neural network
* Screen Content Image Quality Evaluation
* Screen content image segmentation using least absolute deviation fitting
* Screen content image segmentation using sparse decomposition and total variation minimization
* Screen Content Quality Assessment: Overview, Benchmark, and Beyond
* Screen Content Video Quality Assessment Model Using Hybrid Spatiotemporal Features
* Screen Content Video Quality Assessment: Subjective and Objective Study
* Screen design for printing
* Screen Orientation Aware DRAM Architecture for Mobile Video and Graphic Applications
* Screen Pattern Removal for Character Pattern Extraction from High-Resolution Color Document Images
* Screen Projection Camera for Ranging Far Away Objects
* Screen reflections impact on HDR video tone mapping for mobile devices: an evaluation study
* Screen Space Cone Tracing for Glossy Reflections
* Screencast Tutorial Video Understanding
* Screened image reproduction
* Screened Poisson Equation for Image Contrast Enhancement
* Screened Poisson Hyperfields for Shape Coding
* Screener Evaluation of Pseudo-Colored Single Energy X-ray Luggage Images
* Screening for Objectionable Images: A Review of Skin Detection Techniques
* Screening of Alzheimer's Disease With Multiwavelength Stokes Polarimetry in a Mouse Model
* Screening of Wide Area Search Reconnaissance Imagery
* screening system for the assessment of opacity profusion in chest radiographs of miners with pneumoconiosis, A
* Screening Tests for LASSO Problems
* Screenshot identification by analysis of directional inequality of interlaced video
* Screw Motion Approach to Uniqueness Analysis of Head-Eye Geometry, A
* Scribble-a-Secret: Similarity-based password authentication using sketches
* Scribble-based boundary-aware network for weakly supervised salient object detection in remote sensing images
* Scribble-Based Weakly Supervised Deep Learning for Road Surface Extraction From Remote Sensing Images
* Scribble-Supervised LiDAR Semantic Segmentation
* Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
* Scribble-Supervised Semantic Segmentation Inference
* Scribble based interactive 3D reconstruction via scene co-segmentation
* Scribble Tracker: A Matting-Based Approach for Robust Tracking
* Scribblebox: Interactive Annotation Framework for Video Object Segmentation
* ScribbleNet: Efficient interactive annotation of urban city scenes for semantic segmentation
* Scribbler: Controlling Deep Image Synthesis with Sketch and Color
* ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
* Scribe Attribution for Early Medieval Handwriting by Means of Letter Extraction and Classification and a Voting Procedure for Larger Pieces
* Scribe Identification in Medieval English Manuscripts
* SCRIBO Module of the Olena Platform: A Free Software Framework for Document Image Analysis, The
* Script-Free Text Line Segmentation Using Interline Space Model for Printed Document Images
* Script-Independent Handwritten Textlines Segmentation Using Active Contours
* Script-Independent Text Line Segmentation in Freestyle Handwritten Documents
* Script-independent, HMM-based Text Line Finding for OCR
* Script-to-Movie: A Computational Framework for Story Movie Composition
* Script and Language Determination from Document Images
* Script and Language Identification for Handwritten Document Images
* Script and Language Identification from Document Images
* Script and Language Identification in Noisy and Degraded Document Images
* Script and nature differentiation for Arabic and Latin text images
* Script Characterization in the Old Slavic Documents
* Script Data for Attribute-Based Recognition of Composite Activities
* Script Determination in Document Images
* Script identification algorithms: a survey
* Script Identification Based on Morphological Reconstruction in Document Images
* Script Identification for Printed and Handwritten Indian Documents: An Empirical Study of Different Feature Classifier Combinations
* Script Identification from Handwritten Document
* Script Identification from Indian Documents
* Script identification in natural scene image and video frames using an attention based Convolutional-LSTM network
* Script Identification in Printed Bilingual Documents
* Script identification in the wild via discriminative convolutional neural network
* Script identification of camera-based images
* Script Identification of Central Asia Based on Fused Texture Features
* Script Identification of Pre-segmented Multi-font Characters and Digits
* Script identification using steerable Gabor filters
* Script Identification: A Han and Roman Script Perspective
* Script independent detection of bold words in multi font-size documents
* Script Independent Methodology for Optical Character Recognition, A
* Script independent online handwriting recognition
* Script Independent Word Spotting in Offline Handwritten Documents Based on Hidden Markov Models
* Script invariant handwritten digit recognition using a simple feature descriptor
* Script line separation from Indian multi-script documents
* script matching algorithm for oriental characters on PDAs, A
* Script Recognition Using Hidden Markov Models
* Script Recognition: A Review
* Scripted Video Generation With a Bottom-Up Generative Adversarial Network
* Scroll Waves in 3D Virtual Human Atria: A Computational Study
* SCRP: Stable CDS-Based Routing Protocol for Urban Vehicular Ad Hoc Networks
* Scrubbing Up: Multi-Scale Investigation of Woody Encroachment in a Southern African Savannah
* Scrutinizing Relationships between Submarine Groundwater Discharge and Upstream Areas Using Thermal Remote Sensing: A Case Study in the Northern Persian Gulf
* SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization
* SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition
* scSE-LinkNet Deep Learning Model for Daytime Sea Fog Detection, A
* SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
* SCTMS: Superpixel based color topographic map segmentation method
* SCTS: Instance Segmentation of Single Cells Using a Transformer-Based Semantic-Aware Model and Space-Filling Augmentation
* ScudWare: A Semantic and Adaptive Middleware Platform for Smart Vehicle Space
* SCULPTEUR: Multimedia Retrieval for Museums
* Sculpting in Augmented Reality
* SculptUp: A rapid, immersive 3D modeling environment
* SCUT-COUCH Textline_NU: An Unconstrained Online Handwritten Chinese Text Lines Dataset
* SCUT-COUCH2009: A comprehensive online unconstrained Chinese handwriting database and benchmark evaluation
* SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction
* SCUT-HCCDoc: A new benchmark dataset of handwritten Chinese text in unconstrained camera-captured documents
* SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume
* SCVRL: Shuffled Contrastive Video Representation Learning
* SCW-SGD: Stochastically Confidence-Weighted SGD
* SD-CapsNet: A Siamese Dense Capsule Network for SAR Image Registration with Complex Scenes
* SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution
* SD-FB-GAN: Saliency-Driven Feedback GAN for Remote Sensing Image Super-Resolution Reconstruction
* SD-Pose: Structural Discrepancy Aware Category-Level 6D Object Pose Estimation
* SD-RSIC: Summarization-Driven Deep Remote Sensing Image Captioning
* SDABS: A Flexible and Efficient Multi-Authority Hybrid Attribute-Based Signature Scheme in Edge Environment
* SdAE: Self-distillated Masked Autoencoder
* SDALA: Simultaneous dynamic range compression and local contrast enhancement algorithm
* SDALF+C: Augmenting the SDALF Descriptor by Relation-Based Information for Multi-shot Re-identification
* SDANet: Semantic-Embedded Density Adaptive Network for Moving Vehicle Detection in Satellite Videos
* SDART: An algorithm for discrete tomography from noisy projections
* SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation
* SDC-Net: Video Prediction Using Spatially-Displaced Convolution
* SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks
* SDCA: a novel stack deep convolutional autoencoder- an application on retinal image denoising
* SdcNet for object recognition
* Sdcnet: Size Divide and Conquer Network for Salient Object Detection
* SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance
* SDE: A Novel Selective, Discriminative and Equalizing Feature Representation for Visual Recognition
* SDF-2-SDF Registration for Real-Time 3D Reconstruction from RGB-D Data
* SDF-2-SDF: Highly Accurate 3D Object Reconstruction
* SDF-MAN: Semi-Supervised Disparity Fusion with Multi-Scale Adversarial Networks
* SDF-TAR: Parallel Tracking and Refinement in RGB-D Data using Volumetric Registration
* SDFCNv2: An Improved FCN Framework for Remote Sensing Images Semantic Segmentation
* SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
* SDFL-FC: Semisupervised Deep Feature Learning With Feature Consistency for Hyperspectral Image Classification
* SDG Cut: 3D Reconstruction of Non-lambertian Objects Using Graph Cuts on Surface Distance Grid
* SDG Indicator 11.3.1 and Secondary Cities: An Analysis and Assessment
* SDGH-Net: Ship Detection in Optical Remote Sensing Images Based on Gaussian Heatmap Regression
* SDGSAT-1 TIS Prelaunch Radiometric Calibration and Performance
* SDICP: Semi-Dense Tracking based on Iterative Closest Points
* SDL: Saliency-Based Dictionary Learning Framework for Image Similarity
* SDL: Spectrum-Disentangled Representation Learning for Visible-Infrared Person Re-Identification
* SDM-BSM: A fusing depth scheme for human action recognition
* SDM: Semantic Distortion Measurement for Video Encryption
* SDMA: Saliency-Driven Mutual Cross Attention for Multi-Variate Time Series
* SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI Segmentation and Landmark Localization
* SDN-Based Caching Decision Policy for Video Caching in Information-Centric Networking, An
* SDN empowered location aware routing for energy efficient next generation vehicular networks, An
* SDN/NFV-Empowered Future IoV With Enhanced Communication, Computing, and Caching
* SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion
* SDNet: Image-based sonar detection network for multi-scale objects
* SDNet: Semantically Guided Depth Estimation Network
* SDNHAS: An SDN-Enabled Architecture to Optimize QoE in HTTP Adaptive Streaming
* sdnMAC: A Software-Defined Network Inspired MAC Protocol for Cooperative Safety in VANETs
* SDOF-GAN: Symmetric Dense Optical Flow Estimation With Generative Adversarial Networks
* SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow
* SDP-based approach to monocular reconstruction of inextensible surfaces
* SDP-GAN: Saliency Detail Preservation Generative Adversarial Networks for High Perceptual Quality Style Transfer
* Sdp-net: Scene Flow Based Real-time Object Detection and Prediction from Sequential 3d Point Clouds
* SDPNet: A Deep Network for Pan-Sharpening With Enhanced Information Representation
* SDQO and SFO, Ontologies for Spatial Data Quality Assessment
* SDR-Implemented Passive Bistatic SAR System Using Sentinel-1 Signal and Its Experiment Results
* SDRNet: An end-to-end shadow detection and removal network
* SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences
* SDSP: A novel saliency detection method by combining simple priors
* SDT: A Synthetic Multi-Modal Dataset For Person Detection And Pose Classification
* SDTGAN: Generation Adversarial Network for Spectral Domain Translation of Remote Sensing Images of the Earth Background Based on Shared Latent Domain
* SDTP: Semantic-Aware Decoupled Transformer Pyramid for Dense Image Prediction
* SDUNet: Road extraction via spatial enhanced and densely connected UNet
* SDV-LOAM: Semi-Direct Visual-LiDAR Odometry and Mapping
* SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring
* SE-PSNet: Silhouette-based Enhancement Feature for Panoptic Segmentation Network
* Se-resnet56: Robust Network Model for Deepfake Detection
* SE-RWNN: an synergistic evolution and randomly wired neural network-based model for adaptive underwater image enhancement
* SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
* SE(3) invariant description for 3D face recognition, An
* SE(n)++: An Efficient Solution to Multiple Pose Estimation Problems
* Se2NAS: Self-Semi-Supervised architecture optimization for Semantic Segmentation
* SE3: Sequential Semantic Segmentation of Large Images with Minimized Memory
* Sea-Crossing Bridge Detection in Polarimetric SAR Images Based on Windowed Level Set Segmentation and Polarization Parameter Discrimination
* Sea-Ice Concentration Derived From GNSS Reflection Measurements in Fram Strait
* Sea-Ice Lead Detection Algorithm for Use With High-Resolution Airborne Visible Imagery, A
* Sea-Ice Wintertime Lead Frequencies and Regional Characteristics in the Arctic, 2003-2015
* Sea-Land Clutter Classification Based on Graph Spectrum Features
* Sea-land Segmentation of Infrared Remote Sensing Image Based on Complex Background
* Sea-land segmentation via hierarchical region merging and edge directed graph cut
* Sea-Level Change along the Emilia-Romagna Coast from Tide Gauge and Satellite Altimetry
* Sea-Level Fingerprints Due to Present-Day Water Mass Redistribution in Observed Sea-Level Data
* Sea-Level Variability in the Arabian Gulf in Comparison with Global Oceans
* Sea-Net: Squeeze-and-Excitation Attention Net For Diabetic Retinopathy Grading
* Sea-Spike Detection in High Grazing Angle X-Band Sea-Clutter
* Sea-Surface Floating Small Target Detection by One-Class Classifier in Time-Frequency Feature Space
* Sea-surface image super-resolution based on sparse representation
* Sea-Thru: A Method for Removing Water From Underwater Images
* Sea and Freshwater Ice Concentration from VIIRS on Suomi NPP and the Future JPSS Satellites
* Sea and Land Segmentation of Optical Remote Sensing Images Based on U-Net Optimization
* Sea Clutter Amplitude Prediction Using a Long Short-Term Memory Neural Network
* Sea Clutter Amplitude Prediction via an Attention-Enhanced Seq2Seq Network
* Sea Clutter Rejection in Radar Image Using Wavelets and Fractals
* Sea Echoes for Airborne HF/VHF Radar: Mathematical Model and Simulation
* Sea Fetch Observed by Synthetic Aperture Radar
* Sea Fog Detection Based on Normalized Difference Snow Index Using Advanced Himawari Imager Observations
* Sea Ice-Water Classification of RADARSAT-2 Imagery Based on Residual Neural Networks (ResNet) with Regional Pooling
* Sea Ice Albedo from MISR and MODIS: Production, Validation, and Trend Analysis
* Sea ice boundary detection in SAR satellite images using conflicting strength
* Sea Ice Classification During Freeze-Up Conditions With Multifrequency Scatterometer Data
* Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks
* Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline
* Sea Ice Concentration and Sea Ice Extent Mapping with L-Band Microwave Radiometry and GNSS-R Data from the FFSCat Mission Using Neural Networks
* Sea Ice Concentration Estimation during Freeze-Up from SAR Imagery Using a Convolutional Neural Network
* Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study
* Sea Ice Concentration Estimation Methodology Utilizing ICESat-2 Photon-Counting Laser Altimeter in the Arctic, A
* Sea Ice Concentration Products over Polar Regions with Chinese FY3C/MWRI Data
* Sea Ice Detection by an Unsupervised Method Using Ku- and Ka-Band Radar Data at Low Incidence Angles: First Results
* Sea Ice Detection Using U.K. TDS-1 GNSS-R Data
* Sea Ice Detection, Sea-Ice Analysis
* Sea Ice Drift Tracking From Sequential SAR Images Using Accelerated-KAZE Features
* Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data
* Sea Ice Freeboard in the Ross Sea from Airborne Altimetry IcePod 2016-2017 and a Comparison with IceBridge 2013 and ICESat 2003-2008
* Sea Ice Image Classification Based on Heterogeneous Data Fusion and Deep Learning
* Sea Ice Mapping Method for SeaWinds
* Sea Ice Monitoring with CFOSAT Scatterometer Measurements Using Random Forest Classifier
* Sea Ice Motion Tracking From Sequential Dual-Polarization RADARSAT-2 Images
* Sea Ice Observation With Oceanographic HF Radar
* Sea Ice Remote Sensing Using GNSS-R: A Review
* Sea Ice Roughness From Airborne LIDAR Profiles
* Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission
* Sea Ice Thickness Retrieval Based on GOCI Remote Sensing Data: A Case Study
* Sea Level Estimation Based on GNSS Dual-Frequency Carrier Phase Linear Combinations and SNR
* Sea Level Fusion of Satellite Altimetry and Tide Gauge Data by Deep Learning in the Mediterranean Sea
* Sea Level Measurement and Change, Satellite Altimetric Data
* Sea Level Rise Estimation on the Pacific Coast from Southern California to Vancouver Island
* Sea Level Seasonal, Interannual and Decadal Variability in the Tropical Pacific Ocean
* Sea Level Variability in the Red Sea: A Persistent East-West Pattern
* Sea of Images: A Dense Sampling Approach for Rendering Large Indoor Environments
* Sea Salt Aerosol Identification Based on Multispectral Optical Properties and Its Impact on Radiative Forcing over the Ocean
* Sea Situational Awareness (SeaSAw) Dataset
* Sea State Bias Variability in Satellite Altimetry Data
* Sea State from Single Optical Images: A Methodology to Derive Wind-Generated Ocean Waves from Cameras, Drones and Satellites
* Sea State Observation through a Three-Antenna Hybrid XT/AT InSAR Configuration: A Preliminary Study Based on the InSAeS4 Airborne System
* Sea Storm Analysis: Evaluation of Multiannual Wave Parameters Retrieved from HF Radar and Wave Model
* Sea Surface Altimetry Based On Airborne GNSS Signal Measurements
* Sea Surface Chlorophyll-a Concentration Retrieval from HY-1C Satellite Data Based on Residual Network
* Sea Surface Current Estimation Using Airborne Circular Scanning SAR with a Medium Grazing Angle
* Sea Surface Current Fields in the Baltic Sea Derived From Multi-Sensor Satellite Data
* Sea Surface Currents Estimated from Spaceborne Infrared Images Validated against Reanalysis Data and Drifters in the Mediterranean Sea
* Sea Surface Height Estimation from Improved Modified, and Decontaminated Sub-Waveform Retracking Methods over Coastal Areas
* Sea Surface Ka-Band Doppler Measurements: Analysis and Model Development
* Sea Surface Kinematics From Near-Nadir Radar Measurements
* Sea Surface Microwave Scattering at Extreme Grazing Angle: Numerical Investigation of the Doppler Shift
* Sea Surface Monostatic and Bistatic EM Scattering Using SSA-1 and UAVSAR Data: Numerical Evaluation and Comparison Using Different Sea Spectra
* Sea Surface Radar Scattering at L-Band Based on Numerical Solution of Maxwell's Equations in 3-D (NMM3D)
* Sea Surface Roughness Determination from Grazing Angle GPS Ocean Observations and Scatterometry Simulations
* Sea Surface Roughness Observed by High Resolution Radar
* Sea Surface Salinity and Wind Speed Retrievals Using GNSS-R and L-Band Microwave Radiometry Data from FMPL-2 Onboard the FSSCat Mission
* Sea Surface Salinity Anomaly in the Bay of Bengal during the 2010 Extremely Negative IOD Event
* Sea Surface Salinity Estimation and Spatial-Temporal Heterogeneity Analysis in the Gulf of Mexico
* Sea Surface Salinity Inversion Model for Changjiang Estuary and Adjoining Sea Area with SMAP and MODIS Data Based on Machine Learning and Preliminary Application
* Sea Surface Salinity Response to Tropical Cyclones Based on Satellite Observations
* Sea Surface Salinity Seasonal Variability in the Tropics from Satellites, Gridded In Situ Products and Mooring Observations
* Sea Surface Salinity Subfootprint Variability from a Global High-Resolution Model
* Sea Surface Salinity Variability in the Bering Sea in 2015-2020
* Sea Surface Salinity, SSS, SMOS
* Sea Surface Skin Temperature Retrieval from FY-3C/VIRR
* Sea Surface Temperature (SST) Variability of the Eastern Coastal Zone of the Gulf of California
* Sea Surface Temperature and High Water Temperature Occurrence Prediction Using a Long Short-Term Memory Model
* Sea Surface Temperature changes analysis, an Essential Climate Variable for Ecosystem Services provisioning
* Sea Surface Temperature Gradients Estimation Using Top-of-Atmosphere Observations from the ESA Earth Explorer 10 Harmony Mission: Preliminary Studies
* Sea Surface Temperature in Global Analyses: Gains from the Copernicus Imaging Microwave Radiometer
* Sea Surface Temperature Retrieval from MODIS Radiances Using Truncated Total Least Squares with Multiple Channels and Parameters
* Sea Surface Temperature Retrieval from the First Korean Geostationary Satellite COMS Data: Validation and Error Assessment
* Sea Surface Temperature Variability and Marine Heatwaves in the Black Sea
* Sea Surface Wind Retrieval under Rainy Conditions from Active and Passive Microwave Measurements
* Sea Surface Wind Retrievals from SIR-C/X-SAR Data: A Revisit
* Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery
* Sea Surface Wind Speed Retrieval from the First Chinese GNSS-R Mission: Technique and Preliminary Results
* Sea Tide Influence on Ice Flow of David Drygalski's Ice Tongue Inferred from Geodetic GNSS Observations and SAR Offset Tracking Analysis
* Sea Wind Measurement by Doppler Navigation System with X-Configured Beams in Rectilinear Flight
* SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
* Seabed Classification Using a Bag-of-Prototypes Feature Representation
* Seabed Mapping in Coastal Shallow Waters Using High Resolution Multispectral and Hyperspectral Imagery
* Seabed Segmentation Using Optimized Statistics of Sonar Textures
* SeAC: SDN-Enabled Adaptive Clustering Technique for Social-Aware Internet of Vehicles
* SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water
* SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water
* Seafloor Description in Sonar Images Using the Monogenic Signal and the Intrinsic Dimensionality
* Seafloor Mapping From Multispectral Multibeam Acoustic Data At The European Open Science Cloud
* Seafloor Sediment Study from South China Sea: Acoustic & Physical Property Relationship
* Seafloor Texture Classification with a Multiscale Discriminant Analysis on High Resolution Sonar Images
* Seafloor Topography Estimation from Gravity Anomaly and Vertical Gravity Gradient Using Nonlinear Iterative Least Square Method
* Seafloor video mapping: modeling, algorithms, apparatus
* Seafloor: A Key Factor in Lidar Bottom Detection, The
* Seagrass Detection from Underwater Digital Images using Faster R-CNN with NASNet
* Seagrass Habitat Suitability Map At Merambong Shoal, Johor: A Preliminary Study Using Multibeam Echosounder and Maxent Modelling
* Seagrass Mapping Toolbox for South Pacific Environments, A
* Seagrass
* SEAGULL: Seam-Guided Local Alignment for Parallax-Tolerant Image Stitching
* SEAIR Framework Accounting for a Personalized Risk Prediction Score: Application to the Covid-19 Epidemic
* Seal Detection and Recognition: An Approach for Document Indexing
* Seal Image Registration Based on Shape and Layout Characteristics
* SealNet 2.0: Human-Level Fully-Automated Pack-Ice Seal Detection in Very-High-Resolution Satellite Imagery with CNN Model Ensembles
* Seam-line determination for image mosaicking: A technique minimizing the maximum local mismatch and the global cost
* Seam carving based aesthetics enhancement for photos
* Seam carving for stereo images
* Seam carving in wavelet transform domain
* Seam Searching-Based Pixel Fusion for Image Retargeting
* Seam Segment Carving: Retargeting Images to Irregularly-Shaped Image Domains
* SeaMAE: Masked Pre-Training with Meteorological Satellite Imagery for Sea Fog Detection
* Seamless 3D Image Mapping and Mosaicing of Valles Marineris on Mars Using Orbital HRSC Stereo and Panchromatic Images
* Seamless 3D Surround View with a Novel Burger Model
* Seamless Accurate Positioning in Deep Urban Area Based on Mode Switching Between DGNSS and Multipath Mitigation Positioning
* Seamless and automated rapeseed mapping for large cloudy regions using time-series optical satellite imagery
* Seamless change detection and mosaicing for aerial imagery
* Seamless Channel Transition for BroadCatch Scheme
* Seamless Co-registration of Images From Multi-sensor Multispectral Cameras
* Seamless Color Mapping for 3D Reconstruction with Consumer-Grade Scanning Devices
* Seamless Fusion of LiDAR and Aerial Imagery for Building Extraction
* Seamless image-based texture atlases using multi-band blending
* Seamless image stitching by minimizing false edges
* Seamless Image Stitching in the Gradient Domain
* Seamless Image Stitching of Scenes with Large Motions and Exposure Differences
* Seamless Indoor-Outdoor Navigation for Unmanned Multi-Sensor Aerial Platforms
* Seamless Lesion Insertion for Data Augmentation in CAD Training
* Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography
* Seamless Mosaicing of Image-Based Texture Maps
* Seamless Mosaicking of UAV-Based Push-Broom Hyperspectral Images for Environment Monitoring
* Seamless Navigation System and Applications for Autonomous Vehicles Using a Tightly Coupled GNSS/UWB/INS/Map Integration Scheme, A
* Seamless Navigation Using Various Sensors: An Overview of The Seamless Navigation Campaign
* Seamless Outdoors-Indoors Localization Solutions on Smartphones: Implementation and Challenges
* Seamless patches for GPU-based terrain rendering
* Seamless Payment System Using Face And Low-Energy Bluetooth
* Seamless Scene Segmentation
* Seamless Solar Radiation (SESORA) Forecast for Solar Surface Irradiance: Method and Validation, The
* Seamless Stitching Dual Fisheye Images For 360° Free View
* Seamless stitching with shape deformation for historical document images
* Seamless switching of H.265/HEVC-coded dash representations with open GOP prediction structure
* Seamless Synthetic Aperture Radar Archive for Interferometry Analysis
* Seamless texture stitching on a 3D mesh by poisson blending in patches
* Seamless Upscaling of the Field-Measured Grassland Aboveground Biomass Based on Gaussian Process Regression and Gap-Filled Landsat 8 OLI Reflectance
* Seamless Vehicle Positioning by Lidar-GNSS Integration: Standalone and Multi-Epoch Scenarios
* Seamless video composition using optimized mean-value cloning
* Seamless video editing
* Seamless Video Switching System for Service Compatible 3DTV Broadcasting
* Seamless View Synthesis Through Texture Optimization
* Seamless Warping of Diffusion Tensor Fields
* seamlessly multiplexed embedded codec (SMEC) and its application in image coding, The
* Seamline detection in colour orthoimage mosaicking by use of twin snakes
* Seamline network generation based on foreground segmentation for orthoimage mosaicking
* Seamline Network Refinement Based on Area Voronoi Diagrams With Overlap
* SeamSeg: Video Object Segmentation Using Patch Seams
* Seamsight: A Parallel/Pipelined Vision System for Seam Tracking
* Sean-to-XML: automatic generation of browsable technical documents
* SEAN: A Simple and Efficient Attention Network for Aircraft Detection in SAR Images
* SEAN: Image Synthesis With Semantic Region-Adaptive Normalization
* Seaplane Base Ivo Monti At S. Nicola Varano (FG): A Monument Of Military Archeology, Between History And Protection, The
* Search-and-replace editing for personal photo collections
* Search-and-Validate Method for Face Identification from Single Line Drawings, A
* Search-Based Content Analysis System on Online Collaborative Platform for Film Production
* Search-Based Contour Closure in Range Images
* Search-Based Depth Estimation via Coupled Dictionary Learning with Large-Margin Structure Inference
* Search-Effective Multi-Class Texture Classification
* Search Algorithm for Skeletonization of Thick Patterns, A
* search algorithms stimulated by premise set in the syntactic knowledge system, The
* Search and Explore Strategies for Interactive Analysis of Real-life Image Collections with Unknown and Unique Categories
* Search and Inspection Archaeological Underwater Campaigns in The Framework of The European Arrows Project
* Search and Orchestration of Data and Processes in a Federated Environment
* Search and Replace of 2-D Objects in Digital Images
* Search and Retrieval of Rich Media Objects Supporting Multiple Multimodal Queries
* Search Area Reduction Fast-RCNN for Fast Vehicle Detection in Large Aerial Imagery
* Search Based Access
* search based approach to non maximum suppression in face detection, A
* Search based Video Recommendations
* Search for Electron Bursts in the Inner Van Allen Belts with the CSES and NOAA POES Satellites
* Search for Genericity in Graphics Recognition Applications: Design Issues of the Qgar Software System, The
* Search For Patterns In Compressed Time Series
* Search Guided Saliency
* Search in 3D and Video
* Search in 3D
* Search inliers based on redundant geometric constraints
* Search method and apparatus for locating digitally stored content, such as visual images, music and sounds, text, or software, in storage devices on a computer network
* Search Method of Time Sensitive Frequent Itemsets in Data Streams
* Search of protein structural blocks through secondary structure triplets
* Search on automatic target tracking based on PTZ system
* Search optimal fuzzy model using evolutionary algorithm: Application to predict the form function of the composite cylindrical shell
* Search Patterns Switching Algorithm for Block Motion Estimation, A
* Search pruning in video surveillance systems: Efficiency-reliability tradeoff
* Search range reduction for uni-prediction and bi-prediction in HEVC
* Search Space Reduction for Holistic Ligature Recognition in Urdu Nastalique Script
* Search Space Reduction for MRF Stereo
* Search Space Reduction in the Edge Based Stereo Correspondence
* Search space reduction in the edge based stereo matching by context of disparity gradient limit
* Search Strategies for Image Multi-distortion Estimation
* Search strategies for multiple landmark detection by submodular maximization
* Search Strategies for Radar Target Localization
* Search strategies for shape regularized active contour
* Search Strategies for the ARGOS Image Understanding System
* Search Technique For Pattern-Recognition Using Relative Distances, A
* Search Technique for Rule Extraction from Trained Neural Networks, A
* Search the Audio, Browse the Video: A Generic Paradigm for Video Collections
* Search to Distill: Pearls Are Everywhere but Not the Eyes
* Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval
* Search video action proposal with recurrent and static YOLO
* Search What You Want: Barrier Penalty NAS for Mixed Precision Quantization
* Search window size decision for motion estimation algorithm in H.264 video coder
* Searching a High Performance Feature Extractor for Text Recognition Network
* Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking
* Searching and Learning Discriminative Regions for Fine-Grained Image Retrieval and Classification
* Searching Architecture and Precision for U-net based Image Restoration Tasks
* Searching attentive tasks with document analysis evidences and Dempster-Shafer theory
* Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
* Searching Central Difference Convolutional Networks for Face Anti-Spoofing
* Searching Dense Point Correspondences via Permutation Matrix Learning
* Searching Efficient 3d Architectures with Sparse Point-voxel Convolution
* Searching Efficient Model-Guided Deep Network for Image Denoising
* Searching Efficient Neural Architecture with Multi-resolution Fusion Transformer for Appearance-based Gaze Estimation
* Searching for a Robust Neural Architecture in Four GPU Hours
* Searching for Accurate Binary Neural Architectures
* Searching for Actions on the Hyperbole
* Searching for an Optimal Hexagonal Shaped Enumeration Unit Size for Effective Spatial Pattern Recognition in Choropleth Maps
* Searching for an Optimal Reference System for On-Line Signature Verification Based on (x, y) Alignment
* Searching for Complex Human Activities with No Visual Examples
* Searching for Controllable Image Restoration Networks
* Searching for Digital Pictures
* Searching for doppelgangers: assessing the universality of the IrisCode impostors distribution
* Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs
* Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks
* Searching for Fast Model Families on Datacenter Accelerators
* Searching for Flexible Repeated Patterns Using a Non-Transitive Similarity Relation
* Searching for Geometric Structure in Images of Natural Scenes
* Searching for Grasping Opportunities on Unmodeled 3D Objects
* Searching for images by video
* Searching for Information
* Searching for logo and trademark images on the web
* Searching for MobileNetV3
* Searching for N:m Fine-grained Sparsity of Weights and Activations in Neural Networks
* Searching for nearest neighbors with a dense space partitioning
* Searching for Network Width With Bilaterally Coupled Network
* Searching for object images with reduced computation
* Searching for Objects in a Scene
* Searching for Objects using Structure in Indoor Scenes
* Searching for Patterns in Imbalanced Data
* Searching for people using semantic soft biometric descriptions
* Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting
* Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation
* Searching for Robustness: Loss Learning for Noisy Classification Tasks
* Searching for Similarities in Nearly Periodic Signals With Application to ECG Data Compression
* Searching for Structures of Interest in an Ultrasound Video Sequence
* Searching for Tables in Digital Documents
* Searching for the best elimination sequence in Bayesian networks by using ant colony optimization
* Searching for the optimal ordering of classes in rule induction
* Searching for Two-Stream Models in Multivariate Space for Video Recognition
* Searching for Unknown Anomalies in Hierarchical Data Streams
* Searching for Viking Age Fortresses with Automatic Landscape Classification and Feature Detection
* Searching High-Dimensional Neighbours: CPU-Based Tailored Data-Structures Versus GPU-Based Brute-Force Method
* Searching Human Behaviors using Spatial-Temporal Words
* Searching Images on the Basis of Color Homogeneous Objects and their Spatial Relationship
* Searching Images
* Searching in metric spaces
* Searching in Video Collections Using Sketches and Sample Images: The Cineast System
* Searching Lost People with UAVs: The System and Results of the Close-Search Project
* Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition
* Searching OCR'ed Text: An LDA Based Approach
* Searching Off-line Arabic Documents
* Searching One Billion Web Images by Content: Challenges and Opportunities
* Searching parameter spaces with noisy linear constraints
* Searching part-specific neural fabrics for human pose estimation
* Searching Remotely Sensed Images For Meaningful Nested Gestalten
* Searching satellite imagery with integrated measures
* Searching surveillance video
* Searching Technique in a Spectral Image Database
* Searching the Deployable Convolution Neural Networks for GPUs
* Searching the web with mobile images for location recognition
* Searching the World's Herbaria: A System for Visual Identification of Plant Species
* Searching through a Speech Memory for Text-Independent Speaker Verification
* Searching Towards Class-Aware Generators for Conditional Generative Adversarial Networks
* Searching Video for Complex Activities with Finite State Models
* Searchlight: Precipitation Advection Tracking Using Multiplatform Low-Earth-Orbiting Satellite Data
* SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection
* Season-Dependent Distributions and Profiles of Seven Super-Typhoons (2014) in the Northwestern Pacific Ocean From Satellite Cloud Images
* Season Spotter: Using Citizen Science to Validate and Scale Plant Phenology from Near-Surface Remote Sensing
* Seasonal-Window Ensemble-Based Thresholding Technique Used to Detect Active Fires in Geostationary Remotely Sensed Data, A
* Seasonal Adaptation of the Thermal-Based Two-Source Energy Balance Model for Estimating Evapotranspiration in a Semiarid Tree-Grass Ecosystem
* Seasonal and Decadal Groundwater Changes in African Sedimentary Aquifers Estimated Using GRACE Products and LSMs
* Seasonal and Diurnal Characteristics of the Vertical Profile of Aerosol Optical Properties in Urban Beijing, 2017-2021
* Seasonal and Diurnal Variation Characteristics of Soil Moisture at Different Depths from Observational Sites over the Tibetan Plateau, The
* Seasonal and Diurnal Variations in Cloud-Top Phase over the Western North Pacific during 2017-2019
* Seasonal and Inter-Annual Analysis of Chlorophyll-a and Inherent Optical Properties from Satellite Observations in the Inner and Mid-Shelves of the South of Buenos Aires Province (Argentina)
* Seasonal and interannual assessment of cloud cover and atmospheric constituents across the Amazon (2000-2015): Insights for remote sensing and climate analysis
* Seasonal and interannual drought responses of vegetation in a California urbanized area measured using complementary remote sensing indices
* Seasonal and Interannual Variability of Columbia Glacier, Alaska (2011-2016): Ice Velocity, Mass Flux, Surface Elevation and Front Position
* Seasonal and Interannual Variability of Satellite-Derived Chlorophyll-a (2000-2012) in the Bohai Sea, China
* Seasonal and Interannual Variability of Sea Surface Salinity Near Major River Mouths of the World Ocean Inferred from Gridded Satellite and In-Situ Salinity Products
* Seasonal and Interannual Variability of the Indo-Pacific Warm Pool and its Associated Climate Factors Based on Remote Sensing
* Seasonal and Interannual Variability of Tidal Mixing Signatures in Indonesian Seas from High-Resolution Sea Surface Temperature
* Seasonal and Interannual Variations in China's Groundwater Based on GRACE Data and Multisource Hydrological Models
* Seasonal and Interhemispheric Effects on the Diurnal Evolution of EIA: Assessed by IGS TEC and IRI-2016 over Peruvian and Indian Sectors
* Seasonal and Microphysical Characteristics of Fog at a Northern Airport in Alberta, Canada
* Seasonal and Spatial Characteristics of Urban Heat Islands (UHIs) in Northern West Siberian Cities
* Seasonal and Tidal Variability of Surface Currents in the Western Andaman Sea Using HF Radars and Buoy Observations During 2016-2017
* seasonal carbon and water balances of the Cerrado environment of Brazil: Past, present, and future influences of land cover and land use, The
* Seasonal Change in Wetland Coherence as an Aid to Wetland Monitoring
* Seasonal Characteristics of Disdrometer-Observed Raindrop Size Distributions and Their Applications on Radar Calibration and Erosion Mechanism in a Semi-Arid Area of China
* Seasonal Characterization of Solar Radiation Estimates Obtained from a MSG-SEVIRI-Derived Dataset and a RAMS-Based Operational Forecasting System over the Western Mediterranean Coast
* Seasonal Comparison of the Wildfire Emissions in Southern African Region during the Strong ENSO Events of 2010/11 and 2015/16 Using Trend Analysis and Anomaly Detection
* Seasonal Comparisons of Himawari-8 AHI and MODIS Vegetation Indices over Latitudinal Australian Grassland Sites
* Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-Dimensional Median)
* Seasonal Contrast and Interactive Effects of Potential Drivers on Land Surface Temperature in the Sichuan Basin, China
* Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
* Seasonal Cropland Trends and Their Nexus with Agrometeorological Parameters in the Indus River Plain
* Seasonal Cycles of Phytoplankton Expressed by Sine Equations Using the Daily Climatology from Satellite-Retrieved Chlorophyll-a Concentration (1997-2019) Over Global Ocean
* Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations
* Seasonal Differences in Dielectric Properties of Dwarf Woody Tundra Vegetation in a Microwave Range
* Seasonal Differences in Spatial Scales of Chlorophyll-a Concentration in Lake Taihu, China
* Seasonal Dynamics of a Temperate Tibetan Glacier Revealed by High-Resolution UAV Photogrammetry and In Situ Measurements
* Seasonal Ecosystem Productivity in a Seasonally Dry Tropical Forest (Caatinga) Using Flux Tower Measurements and Remote Sensing Data
* Seasonal Evaluation of SMAP Soil Moisture in the U.S. Corn Belt
* Seasonal Flow Forecasting Using Satellite-Driven Precipitation Data for Awash and Omo-Gibe Basins, Ethiopia
* Seasonal Ground Movement Due to Swelling/Shrinkage of Nicosia Marl
* Seasonal Habitat Patterns of Japanese Common Squid (Todarodes Pacificus) Inferred from Satellite-Based Species Distribution Models
* Seasonal Inhomogeneous Nonconsecutive Arrival Process Search and Evaluation
* Seasonal InSAR Displacements Documenting the Active Layer Freeze and Thaw Progression in Central-Western Spitsbergen, Svalbard
* Seasonal Investigation of MAX-DOAS and In Situ Measurements of Aerosols and Trace Gases over Suburban Site of Megacity Shanghai, China
* Seasonal Land Cover Dynamics in Beijing Derived from Landsat 8 Data Using a Spatio-Temporal Contextual Approach
* Seasonal Local Temperature Responses to Paddy Field Expansion from Rain-Fed Farmland in the Cold and Humid Sanjiang Plain of China
* Seasonal M2 Internal Tides in the Arabian Sea
* Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery
* Seasonal Net Shortwave Radiation of Bare Arable Land in Poland and Israel According to Roughness and Atmospheric Irradiance
* Seasonal Precipitation Variability and Non-Stationarity Based on the Evolution Pattern of the Indian Ocean Dipole over the East Asia Region
* Seasonal Progression of Ground Displacement Identified with Satellite Radar Interferometry and the Impact of Unusually Warm Conditions on Permafrost at the Yamal Peninsula in 2016
* Seasonal Sensitivity Analysis of Impervious Surface Estimation with Satellite Imagery
* Seasonal Separation of African Savanna Components Using Worldview-2 Imagery: A Comparison of Pixel- and Object-Based Approaches and Selected Classification Algorithms
* Seasonal Spatiotemporal Changes in the NDVI and Its Driving Forces in Wuliangsu Lake Basin, Northern China from 1990 to 2020
* Seasonal Spectral Separability of Selected Grasses: Case Study From The Krkono'e Mts. Tundra Ecosystem
* Seasonal Surface Change of Urumqi Glacier No. 1, Eastern Tien Shan, China, Revealed by Repeated High-Resolution UAV Photogrammetry
* Seasonal Surface Fluctuation of a Slow-Moving Landslide Detected by Multitemporal Interferometry (MTI) on the Huafan University Campus, Northern Taiwan
* Seasonal Surface Subsidence and Frost Heave Detected by C-Band DInSAR in a High Arctic Environment, Cape Bounty, Melville Island, Nunavut, Canada
* Seasonal Timing for Estimating Carbon Mitigation in Revegetation of Abandoned Agricultural Land with High Spatial Resolution Remote Sensing
* Seasonal to Interannual Variability of Satellite-Based Precipitation Estimates in the Pacific Ocean Associated with ENSO from 1998 to 2014
* Seasonal Transitions in the Thermosphere Inferred from Ionospheric Observations
* Seasonal Trends in Clouds and Radiation over the Arctic Seas from Satellite Observations during 1982 to 2019
* Seasonal Trends In Tibetan Lake Level Changes As Observed By Icesat Laser Altimetry
* Seasonal Variability in Chlorophyll and Air-Sea CO2 Flux in the Sri Lanka Dome: Hydrodynamic Implications
* Seasonal Variability of Diffuse Attenuation Coefficient in the Pearl River Estuary from Long-Term Remote Sensing Imagery
* Seasonal Variability of Retroflection Structures and Transports in the Atlantic Ocean as Inferred from Satellite-Derived Salinity Maps
* Seasonal Variability of SST Fronts in the Inner Sea of Chiloé and Its Adjacent Coastal Ocean, Northern Patagonia
* Seasonal Variability of Upwelling off Central-Southern Chile
* Seasonal Variation in Land and Sea Surface Backscatter Coefficients at High Frequencies
* Seasonal Variation in Microphysical Characteristics of Precipitation at the Entrance of Water Vapor Channel in Yarlung Zangbo Grand Canyon
* Seasonal Variation in the NDVI-Species Richness Relationship in a Prairie Grassland Experiment (Cedar Creek)
* Seasonal Variation of Colored Dissolved Organic Matter in Barataria Bay, Louisiana, Using Combined Landsat and Field Data
* Seasonal Variation of Dust Aerosol Vertical Distribution in Arctic Based on Polarized Micropulse Lidar Measurement
* Seasonal Variation of GPS-Derived the Principal Ocean Tidal Constituents' Loading Displacement Parameters Based on Moving Harmonic Analysis in Hong Kong
* Seasonal Variation of Stratospheric Gravity Waves in the Asian Monsoon Region Derived from COSMIC-2 Data
* Seasonal Variation of the Spatially Non-Stationary Association Between Land Surface Temperature and Urban Landscape
* Seasonal Variations Analysis of Permanent GNSS Station Time Series in the Central-East of Europe, The
* Seasonal Variations in the Flow of Land-Terminating Glaciers in Central-West Greenland Using Sentinel-1 Imagery
* Seasonal Variations in the Vertical Wavenumber Spectra of Stratospheric Gravity Waves in the Asian Monsoon Region Derived from COSMIC-2 Data
* Seasonal Variations of Daytime Land Surface Temperature and Their Underlying Drivers over Wuhan, China
* Seasonal Variations of the Relationship between Spectral Indexes and Land Surface Temperature Based on Local Climate Zones: A Study in Three Yangtze River Megacities
* Seasonal Variations of the Relative Optical Air Mass Function for Background Aerosol and Thin Cirrus Clouds at Arctic and Antarctic Sites
* Seasonal Variations of the Surface Urban Heat Island in a Semi-Arid City
* Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series: The TIMELINE NDVI Product
* Seasonality Analysis of Sentinel-1 and ALOS-2/PALSAR-2 Backscattered Power over Salar de Aguas Calientes Sur, Chile
* Seasonality and Characterization Mapping of Restored Tidal Marsh by NDVI Imageries Coupling UAVs and Multispectral Camera
* Seasonality of Eddy-Induced Chlorophyll-a Anomalies in the Kuroshio Extension System, The
* Seasonality of Surface Urban Heat Islands across Climates, The
* Seasons in Stuttgart: Developing a Google Earth Engine Tool for Heat Island Mapping
* SeaSpace Corporation
* Seat detection in a car for a smart airbag application
* Seated Whole-Body Vibration Analysis, Technologies, and Modeling: A Survey
* SEATH: A new tool for automated feature extraction in the context of object-based image analysis
* Seawater Debye Model Function at L-Band and Its Impact on Salinity Retrieval From Aquarius Satellite Data
* Seaweed Habitats on the Shore: Characterization through Hyperspectral UAV Imagery and Field Sampling
* SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part I: Development and Validation
* SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part II: Test for Transferability
* SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation
* Secchi Depth Algorithm Considering the Residual Error in Satellite Remote Sensing Reflectance Data, A
* Secchi Disk Depth Estimation from China's New Generation of GF-5 Hyperspectral Observations Using a Semi-Analytical Scheme
* SECI-GAN: Semantic and Edge Completion for dynamic objects removal
* SECMACE: Scalable and Robust Identity and Credential Management Infrastructure in Vehicular Communication Systems
* SeCo: Separating Unknown Musical Visual Sounds with Consistency Guidance
* Second- and High-Order Graph Matching for Correspondence Problems
* Second-degree correlation surface features from Optimal Trade-off Synthetic Discriminant Function filters for subject identification using radio frequency cardiosynchronous waveforms
* Second-generation error concealment for video transport over error prone channels
* Second-Generation Image-Coding: An Overview
* Second-Generation Image Coding Techniques
* second-generation wavelet framework for super-resolution with noise filtering, A
* Second-Layer Navigation in Mobile Hypervideo for Medical Training
* Second-Level Partition for Estimating FAR Confidence Intervals in Biometric Systems
* Second-moment matrix adaptation for local orientation estimation
* Second-order adaptive volterra system identification based on discrete nonlinear Wiener model
* Second-Order Algebraic Surfaces and Two Image Photometric Stereo
* second-order analysis of stationary point processes, The
* Second-Order Approach to Learning with Instance-Dependent Label Noise, A
* Second-Order Approximation of Minimum Discrimination Information in Independent Component Analysis
* Second-order Attention Guided Convolutional Activations for Visual Recognition
* second-order attention network for glacial lake segmentation from remotely sensed imagery, A
* Second-Order Attention Network for Single Image Super-Resolution
* Second-order Camera-aware Color Transformation for Cross-domain Person Re-identification
* Second-Order Cone Relaxation for TDOA-Based Localization Under Mixed LOS/NLOS Conditions
* Second-Order Configuration of Local Features for Geometrically Stable Image Matching and Retrieval
* Second-order constrained parametric proposals and sequential search-based structured prediction for semantic segmentation in RGB-D images
* Second-Order Democratic Aggregation
* Second-Order Derivative-Based Smoothness Measure for Error Concealment in DCT-Based Codecs
* Second-order distributed consensus with modified probabilistic quantization
* Second-order distributed consensus with one-bit adaptive quantization
* Second-order event-triggered tracking control with only position measurements
* second-order extension of TV regularization for image deblurring, A
* Second-Order Implicit Polynomials for Segmentation of Range Images
* Second-order iterative approach to inverse scattering: Numerical Results
* Second-Order Motion Perception in the Peripheral Visual-Field
* Second-order motions contribute to vection
* Second-Order Non-Local Attention Networks for Person Re-Identification
* Second-Order Optimization of Mutual Information for Real-Time Image Registration
* second-order PDE tecumque to construct distance functions with more accurate derivatives, A
* Second-Order Performance Analysis and Unbiased Estimation for the Fitting of Concentric Circles
* Second-Order Polynomial Equation-Based Block Adjustment for Orthorectification of DISP Imagery
* Second-Order Polynomial Models for Background Subtraction
* Second-Order Pooling for Graph Neural Networks
* Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE3 Based on Nonlinear Observations
* Second-Order Shape Optimization for Geometric Inverse Problems in Vision
* Second-Order Spectral Transform Block for 3D Shape Classification and Retrieval
* Second-Order Statistics Analysis to Cope With Contrast Enhancement Counter-Forensics
* Second-Order Statistics Driven LMS Blind Fractionally Spaced Channel Equalization
* Second-Order Statistics of One-Sided CPM Signals
* Second-order steganographic method based on adaptive reference matrix
* Second-order Temporal Pooling for Action Recognition
* Second-Order Time-Difference Position Constrained Reduced-Dynamic Technique for the Precise Orbit Determination of LEOs Using GPS, A
* Second-Order TV-Type Approach for Inpainting and Denoising Higher Dimensional Combined Cyclic and Vector Space Data, A
* Second and Third Canadian Conferences on Computer and Robot Vision
* Second Directional Derivative Zero Crossing Detector Using the Cubic Facet Model
* Second Generation Low Cost Embedded Color Vision System, A
* second generation Visual Secret Sharing scheme for color images, A
* Second Iteration of Photogrammetric Pipeline to Enhance the Accuracy Of Image Pose Estimation
* Second Order Bifurcating Methodology for Neural Network Training and Topology Optimization
* second order cone programming approach for semi-supervised learning, A
* Second Order Differences of Cyclic Data and Applications in Variational Denoising
* Second Order Elastic Metrics on the Shape Space of Curves
* Second Order Enhanced Multi-Glimpse Attention in Visual Question Answering
* Second order H-infinity optimal LMS and NLMS algorithms based on a second-order Markov model
* Second Order Local-Image-Structure Solid, The
* Second order local analysis for 3D reconstruction of specular surfaces
* Second Order Minimum Energy Filtering on SE3 with Nonlinear Measurement Equations
* Second Order Multi-Stencil Fast Marching Method With a Non-Constant Local Cost Model, A
* Second order Mumford-Shah model for image denoising
* Second Order Perdicting-Error Sorting for Reversible Data Hiding
* second order polynomial based subspace projection method for dimensionality reduction, A
* Second Order Spread Spectrum Modulation Scheme for Wavelet Based Low Error Probability Digital Image Watermarking, A
* Second Order Structure of Scale-Space Measurements
* Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion, The
* Secondary and Tertiary Structural Fold Elucidation from 3D EM Maps of Macromolecules
* Secondary Fault Activity of the North Anatolian Fault near Avcilar, Southwest of Istanbul: Evidence from SAR Interferometry Observations
* Secondary Information Aware Facial Expression Recognition
* Secondary Path-Decoupled Active Noise Control Algorithm Based on Deep Learning, A
* Secondary Precipitation Estimate Merging Using Machine Learning: Development and Evaluation over Krishna River Basin, India
* Secrecy Capacity Region Maximization in Gaussian MISO Channels With Integrated Services
* Secrecy Outage Analysis for SIMO Underlay Cognitive Radio Networks over Generalized-K Fading Channels
* Secrecy Outage Analysis Over Random Beamforming Transmission With User Scheduling: Collusion vs. Exclusion
* Secrecy Performance of Maximum Ratio Diversity With Channel Estimation Error
* Secrecy Sum-Rate for Orthogonal Random Beamforming With Opportunistic Scheduling
* Secrecy Sum Rate Optimization for Downlink MIMO Nonorthogonal Multiple Access Systems
* Secret-Sharing-Based Method for Authentication of Grayscale Document Images via the Use of the PNG Image With a Data Repair Capability, A
* Secret and public key image watermarking schemes for image authentication and ownership verification
* Secret communication in colored images using saliency map as model
* Secret Image Restoration With Convex Hull and Elite Opposition-Based Learning Strategy
* Secret image sharing based on cellular automata and steganography
* Secret Image Sharing for (k, k) Threshold Based on Chinese Remainder Theorem and Image Characteristics
* Secret Image Sharing Method Using Integer-to-Integer Wavelet Transform, A
* Secret Image Sharing Method using Integer Multiwavelet Transform, A
* Secret image sharing scheme with adaptive authentication strength
* Secret image sharing scheme with hierarchical threshold access structure
* Secret image sharing with separate shadow authentication ability
* Secret image sharing with smaller shadow images
* Secret image transmission based on VQ and data embedding
* Secret Image Transmission Scheme Using Secret Codebook
* Secret JPEG Image Sharing Method Over GF(2M) Galois Fields, A
* Secret Key-Based Image Steganography in Spatial Domain
* Secret Key Generation by Continuous Encryption Before Quantization
* Secret Key Watermarking with Changing Keys
* secret of velvety skin, The
* Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks, The
* Secret Sharing Based Video Watermark Algorithm for Multiuser
* Secret Sharing in Images Based on Error-Diffused Block Truncation Coding and Error Diffusion
* Secret Sharing Scheme for Digital Images Based on Two-Dimensional Linear Cellular Automata, A
* SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination
* Secrets of adaptive support weight techniques for local stereo matching
* Secrets of Event-Based Optical Flow
* Secrets of GrabCut and Kernel K-Means
* Secrets of Image Denoising cuisine
* Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
* Secrets of optical flow estimation and their principles
* Secrets of S. Maria Delle Grazie: Virtual Fruition of An Iconic Milanese Architecture, The
* Secrets of Salient Object Segmentation, The
* Section-Wise Similarities for Classification of Subjective-Data on Time Series
* Section Approach for Representation of 3-Dimentional Point Clouds
* Sectional Curvature in Terms of the Cometric, with Applications to the Riemannian Manifolds of Landmarks
* Sectional image reconstruction in optical scanning holography using compressed sensing
* Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIs
* Sectioned Methods for Image Restoration
* Sector-based diffusion filtering
* Sector-ring HOG for rotation-invariant human detection
* Sectored Snakes: Evaluating Learned-Energy Segmentations
* Secular Changes in Atmospheric Turbidity over Iraq and a Possible Link to Military Activity
* Securable networked scheme with face authentication
* Secure Adaptive Control for Cooperative Driving of Autonomous Connected Vehicles in the Presence of Heterogeneous Communication Delays and Cyberattacks, A
* secure algorithm for biometric-based digital image watermarking in DCT domain, A
* Secure and Disambiguating Approach for Generative Linguistic Steganography, A
* Secure and Efficient Authenticated Key Management Scheme for UAV-Assisted Infrastructure-Less IoVs
* Secure and Efficient Authentication Scheme for Access Control in Mobile Pay-TV Systems, A
* Secure and Efficient Blockchain-Based Knowledge Sharing for Intelligent Connected Vehicles
* Secure and Efficient Data Sharing Among Vehicles Based on Consortium Blockchain
* Secure and Efficient Transmissions of Fingerprint Images for Embedded Processors
* Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics, A
* Secure and Lightweight Drones-Access Protocol for Smart City Surveillance, A
* Secure and Localizing Watermarking Technique for Image Authentication, A
* Secure and Non-Blind Watermarking Scheme for Color Images
* Secure and Practical Sample-then-lock Scheme for Iris Recognition, A
* Secure and Privacy-Preserving Smartphone-Based Traffic Information Systems
* Secure and Privacy-Preserving Technique Based on Contrast-Enhancement Reversible Data Hiding and Plaintext Encryption for Medical Images, A
* Secure and Robust Authentication Scheme for Video Transcoding, A
* Secure and Robust Digital Watermarking Technique by the Block Cipher Rc6 and Secure Hash Algorithm, A
* Secure and robust host-adapted color image watermarking using inter-layered wavelet-packets
* Secure and Robust Iris Recognition Using Random Projections and Sparse Representations
* Secure and robust SIFT with resistance to chosen-plaintext attack
* Secure and Robust Two-Phase Image Authentication
* Secure and Temporary Access Delegation With Equality Test for Cloud-Assisted IoV
* Secure Arrays for Digital Watermarking
* Secure Authentication and Key Management Protocol for Deployment of Internet of Vehicles (IoV) Concerning Intelligent Transport Systems
* secure authentication watermarking for halftone and binary images, A
* Secure Beamforming in Downlink MIMO Nonorthogonal Multiple Access Networks
* Secure Binary Image Steganography Based on Fused Distortion Measurement
* Secure Binary Image Steganography With Distortion Measurement Based on Prediction
* Secure biometric template generation for multi-factor authentication
* Secure Biometric Templates from Fingerprint-Face Features
* Secure Biometrics: Concepts, Authentication Architectures, and Challenges
* Secure Blind Image Steganographic Technique Using Discrete Fourier Transformation
* Secure Blockchain Enabled V2V Communication System Using Smart Contracts, A
* Secure chaotic dual encryption scheme for H.264/AVC video conferencing protection
* Secure Client Side Watermarking with Limited Key Size
* Secure collaboration using Slepian-Wolf codes
* Secure Communications With Asymptotically Gaussian Compressed Encryption
* Secure computing with the MPEG RVC framework
* Secure Content Delivery for Connected and Autonomous Trucks: A Coalition Formation Game Approach
* Secure Data Sharing With Flexible Cross-Domain Authorization in Autonomous Vehicle Systems
* Secure Decentralized Image Classification With Multiparty Homomorphic Encryption
* Secure delivery of images over open networks
* secure digital camera based fingerprint verification system, A
* Secure Digital Watermarking Scheme for MPEG-2 Video Copyright Protection, A
* Secure distortion computation among untrusting parties using homomorphic encryption
* Secure Distributed Adaptive Platooning Control of Automated Vehicles Over Vehicular Ad-Hoc Networks Under Denial-of-Service Attacks
* Secure Distribution Scheme for Compressed Data Streams
* Secure Dynamic Mix Zone Pseudonym Changing Scheme Based on Traffic Context Prediction, A
* Secure ear biometrics using circular kernel principal component analysis, Chebyshev transform hashing and Bose-Chaudhuri-Hocquenghem error-correcting codes
* Secure Fingerprint Authentication with Homomorphic Encryption
* Secure fingerprint embedding based on modified GDFT based parametric transform
* Secure Fingerprint Matching with External Registration
* Secure Fingerprint Matching with Generic Local Structures
* secure fingerprint template generation mechanism using visual secret sharing with inverse halftoning, A
* Secure Fragile Digital Watermarking Technique for Image Authentication
* Secure FSM-based arithmetic codes
* Secure Halftone Image Steganography Based on Feature Space and Layer Embedding
* secure high capacity full-gray-scale-level multi-image information hiding and secret image authentication scheme via Tchebichef moments, A
* Secure high capacity tetris-based scheme for data hiding
* Secure Identification Documents Via Pattern Recognition and Public-key Cryptography
* secure identity and access management system for decentralising user data using blockchain, A
* secure image authentication algorithm with pixel-level tamper localization, A
* Secure Image Filtering
* Secure image hashing via minimum distortion estimation
* secure image sharing scheme based on SVD and Fractional Fourier Transform, A
* Secure Image Watermarking Based on LWT and SVD
* Secure Internet-Based Personal Identity Verification System Using Lossless Watermarking and Fingerprint Recognition, A
* Secure Iris Recognition Based on Local Intensity Variations
* Secure JPEG steganography by LSB+ matching and multi-band embedding
* Secure latent fingerprint storage and self-recovered reconstruction using POB number system
* Secure Lightweight Texture Encryption Scheme, A
* Secure media streaming and secure adaptation for non-scalable video
* secure media streaming mechanism combining encryption, authentication, and transcoding, A
* Secure Medical Image Encryption for Remote Virtual Doctor System Based On H-IoT Applications Over 5G Network: a Comparison Study
* Secure medical images based on data hiding using a hybrid scheme with the Hamming code, LSB, and OPAP
* Secure Minutiae-Based Fingerprint Templates Using Random Triangle Hashing
* secure model on Advanced Fake Image-Feature Network (AFIFN) based on deep learning for image forgery detection, A
* Secure MQ coder: An efficient way to protect JPEG 2000 images in wireless multimedia sensor networks
* Secure Multicast Transmission for Massive MIMO With Statistical Channel State Information
* Secure multicasting of images via joint privacy-preserving fingerprinting, decryption, and authentication
* Secure Multilayer Perceptron Based on Homomorphic Encryption
* Secure multimodal biometric system based on diffused graphs and optimal score fusion
* Secure Multimodal Biometric Verification Scheme, A
* Secure OMP Computation Maintaining Sparse Representations and Its Application to EtC Systems
* Secure Outsourced SIFT: Accurate and Efficient Privacy-Preserving Image SIFT Feature Extraction
* Secure Privacy-Preserving V2V Communication in 5G-V2X Supporting Network Slicing
* Secure Protocol for Data Hiding in Compressed Fingerprint Images, A
* Secure Quantization Index Modulation Watermark Detection
* Secure Quaternion Feistel Cipher for DICOM Images
* Secure real-time image protection scheme with near-duplicate detection in cloud computing
* Secure Relay and Jammer Selection for Physical Layer Security
* Secure remote matching with privacy: Scrambled support vector vaulted verification (S2V3)
* Secure Reversible Image Data Hiding Over Encrypted Domain via Key Modulation
* Secure reversible visible image watermarking with authentication
* Secure Robust JPEG Steganography Based on AutoEncoder With Adaptive BCH Encoding
* Secure scalable streaming and secure transcoving with JPEG2000
* Secure Scalable Streaming Enabling Transcoding Without Decryption
* Secure Self-Recovery Image Authentication Using Randomly-Sized Blocks
* Secure semi-blind watermarking based on iteration mapping and image features
* Secure Service Offloading for Internet of Vehicles in SDN-Enabled Mobile Edge Computing
* SEcure Similar Image Matching (SESIM): An Improved Privacy Preserving Image Retrieval Protocol over Encrypted Cloud Database
* Secure Smart Homes: Opportunities and Challenges
* Secure speech biometric templates for user authentication
* Secure spread-spectrum data embedding with PN-sequence masking
* Secure Spread Image Watermarking Scheme in 3D-DCT Domain
* Secure spread spectrum watermarking for images, audio and video
* Secure Spread Spectrum Watermarking for Multimedia
* Secure Steganographic Scheme against Statistical Analyses, A
* Secure storage and matching of latent fingerprints using phase shifting digital holography
* Secure transcoders for single layer video data
* Secure transcoding for compressive multimedia sensing
* Secure transcoding with JPSEC confidentiality and authentication
* Secure transfer of medical images using hybrid encryption: Authentication, confidentiality, integrity
* Secure Transmission in Cellular V2X Communications Using Deep Q-Learning
* Secure Transmission in Cooperative Networks with Weak Eavesdroppers
* Secure Transmissions via Compressive Sensing in Multicarrier Systems
* Secure transport and adaptation of MC-EZBC video utilizing H.264-based transport protocols
* Secure V2V and V2I Technologies for the Next-Generation Intelligent Transportation Systems
* Secure video distribution scheme based on partial encryption
* Secure Video Multicast Based on Desynchronized Fingerprint and Partial Encryption
* Secure Video Watermarking via Embedding Strength Modulation
* Secure Watermark Embedding Through Partial Encryption
* Secure Watermarking for JPEG-2000, A
* Secure Watermarking for Multimedia Content Protection: A Review of its Benefits and Open Issues
* Secure watermarking scheme against watermark attacks in the encrypted domain
* secure watermarking technique without loss of robustness, A
* secure wavelet transform, The
* Secure, Intelligent Electric Vehicle Ecosystem for Safe Integration With the Smart Grid, A
* SecureDL: A privacy preserving deep learning model for image recognition over cloud
* Securics
* Securimetrics
* securing access approach to virtual worlds based on 3D mesh watermarking of avatar's face, A
* Securing biometric user template using modified minutiae attributes
* Securing DICOM images by a new encryption algorithm using Arnold transform and Vigenère cipher
* Securing Electronic Medical Records Using Biometric Authentication
* Securing Fingerprint Template: Fuzzy Vault with Helper Data
* Securing fingerprint template: Fuzzy vault with minutiae descriptors
* Securing fingerprint templates using fused structures
* Securing Images Online: A Protection Mechanism That Does Not Involve Watermarking
* Securing IoT Based Maritime Transportation System Through Entropy-Based Dual-Stack Machine Learning Framework
* Securing Iot With Blockchain
* Securing Multimedia Content Using Joint Compression and Encryption
* Securing SIFT: Privacy-Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data
* Securing the architecture of the JPEG compression by an dynamic encryption
* Securing the internet of vehicles through lightweight block ciphers
* Securing Wireless Sensor Networks by Using Location Information
* Security-Aware Information Dissemination With Fine-Grained Access Control in Cooperative Multi-RSU of VANETs
* Security-Enhanced Fuzzy Fingerprint Vault Based on Minutiae's Local Ridge Information
* Security-oriented picture-in-picture visual modifications
* Security analysis and improvement of some biometric protected templates based on Bloom filters
* Security analysis for key generation systems using face images
* Security analysis for privacy preserving search of multimedia
* Security Analysis for Spread-Spectrum Watermarking Incorporating Statistics of Natural Images
* Security analysis of a cancelable iris recognition system based on block remapping
* Security analysis of a three-dimensional rotation-based image encryption
* Security Analysis of Biometric Template Protection Schemes, A
* Security Analysis of Impostor Attempts with Respect to Gender in Gait Biometrics
* Security Analysis of Key Binding Biometric Cryptosystems
* Security Analysis of Multimedia Encryption Schemes Based on Multiple Huffman Table
* Security Analysis on Spatial +/- 1 Steganography for JPEG Decompressed Images
* Security and Accuracy Trade-off in Anonymous Fingerprint Recognition
* Security and privacy enhanced smartphone-based gait authentication with random representation learning and digital lockers
* Security and Privacy for Augmented Reality Systems
* Security and Privacy for Distributed Multimedia Sensor Networks
* Security and Privacy in a Blockchain-Powered Access Control System for Low Emission Zones
* Security and Privacy in Distributed Smart Cameras
* Security and Privacy Review of VANETs, A
* Security and Robustness Enhancement for Image Data Hiding
* Security and Watermarking of Multimedia Contents
* Security aspects in education oriented multimedia networks
* Security Assessment of Selectively Encrypted Visual Data: Iris Recognition on Protected Samples
* Security augmentation grounded on Fresnel and Arnold transforms using hybrid chaotic structured phase mask
* Security authentication with a three-dimensional optical phase code using random forest classifier
* Security Automation Through a Multi-processing Real-Time System for the Re-Identification of Persons
* Security Challenges in Vehicular Cloud Computing
* Security Consideration for Deep Learning-Based Image Forensics
* Security Credential Management System for V2X Communications, A
* Security design for Instant Messaging system based on RSA and triple DES
* Security enhancement by adopting the chaotic system for wavelet tree based digital image watermarking
* Security Enhancement for Real-Time Parallel In-Vehicle Applications by CAN FD Message Authentication
* Security Enhancement of Visual Hashes Through Key Dependent Wavelet Transformations
* Security Enhancement via Device-to-Device Communication in Cellular Networks
* Security evaluation for communication-friendly encryption of multimedia
* Security evaluation of biometric authentication systems under real spoofing attacks
* Security evaluation of informed watermarking schemes
* Security identification system 2
* Security identification system
* Security in Brain-Computer Interfaces: State-of-the-Art, Opportunities, and Future Challenges
* Security in IoT-Enabled Digital Twins of Maritime Transportation Systems
* Security in smart cities: A brief review of digital forensic schemes for biometric data
* Security measurement of a medical communication scheme based on chaos and DNA coding
* Security Models of Digital Watermarking
* Security of an Ill-Posed Operator for Image Authentication
* Security of Autonomous Driving: Threats, Defenses, and Future Directions, The
* Security of digital entertainment content from creation to consumption
* Security of Digital Images Based on 3D Arnold Cat Map and Elliptic Curve
* Security of Facial Forensics Models Against Adversarial Attacks
* Security of MVD-based 3D video in 3D-HEVC using data hiding and encryption
* Security of the Medical Media Using a Hybrid and Multiple Watermark Technique
* Security Study of Routing Attacks in Vehicular Ad-Hoc Networks (Autonomous Car)
* Security Study of Routing Attacks in Vehicular Ad-Hoc Networks (Vanets)
* Security Threats In Smart Healthcare
* Security Vulnerabilities and Protection Algorithms for Backpressure-Based Traffic Signal Control at an Isolated Intersection
* Security, Privacy in Vehicle Networks, VANET
* SeDAR: Reading Floorplans Like a Human: Using Deep Learning to Enable Human-Inspired Localisation
* Sediment-Mass Accumulation Rate and Variability in the East China Sea Detected by GRACE
* Sediment Classification of Acoustic Backscatter Image Based on Stacked Denoising Autoencoder and Modified Extreme Learning Machine
* Sediment Yield Estimation And Prioritization Of Watershed Using Remote Sensing and GIS
* Sediment, Suspended Sediment, Silt, Water Quality
* Sedimentological Analysis of Sands
* sEditor: A Prototype for a Sign Language Interfacing System
* SEDMI: Saliency based edge detection in multispectral images
* SEE-LPR: A Semantic Segmentation Based End-to-end System for Unconstrained License Plate Detection and Recognition
* See-Through-Text Grouping for Referring Image Segmentation
* See-through-wall imaging using ultra wideband pulse systems
* See-Through Vision With Unsupervised Scene Occlusion Reconstruction
* See all by looking at a few: Sparse modeling for finding representative objects
* SEE BEYOND: Enhancement: Strategies in Teaching Learning as a Stimulus to Creativity in Fashion Design
* See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval
* See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks
* See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG
* See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning
* See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification
* See the Glass Half Full: Reasoning About Liquid Containers, Their Volume and Content
* See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion
* See the Sound, Hear the Pixels
* See the World Through Network Cameras
* See through Gradients: Image Batch Recovery via GradInversion
* See through HMD type MF 3D display for AR
* See Through Occlusions: Detailed Human Shape Estimation From A Single Image With Occlusions
* See360: Novel Panoramic View Interpolation
* Seed-invariant Region Growing: Its Properties and Applications to 3-d Medical CT Images
* Seed accumulating sequential estimation for PN sequence acquisition at low signal-to-noise ratio
* Seed growing for interactive image segmentation with geodesic voting
* Seed Image Selection in interactive cosegmentation
* Seed picking crossover optimisation algorithm for semantic segmentation from images
* Seed pruning using a multi-resolution approach for automated segmentation of breast cancer tissue
* Seed Robustness of Oriented Image Foresting Transform: Core Computation and the Robustness Coefficient
* Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
* Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
* SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
* Seeded Classification of Satellite Image Time Series with Lower-Bounded Dynamic Time Warping
* Seeded graph matching
* Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm, A
* Seeded Laplacian: An interactive image segmentation approach using eigenfunctions
* seeded region growing algorithm for spot detection in medical image segmentation, A
* Seeded Region Growing
* Seeded region growing: an extensive and comparative study
* Seeded Region Merging Based on Gradient Vector Flow for Image Segmentation
* Seeded segmentation based on object homogeneity
* Seeded watershed cut uncertainty estimators for guided interactive segmentation
* Seeded Watersheds for Combined Segmentation and Tracking of Cells
* SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer
* SeedNet: Automatic Seed Generation with Deep Reinforcement Learning for Robust Interactive Segmentation
* Seeds-Based Part Segmentation by Seeds Propagation and Region Convexity Decomposition
* SEEDS: Superpixels Extracted Via Energy-Driven Sampling
* SeeFar: Vehicle Speed Estimation and Flow Analysis from a Moving UAV
* SEEG: Semantic Energized Co-speech Gesture Generation
* Seegrid Corporation
* Seeing-Is-Believing: Using Camera Phones for Human-Verifiable Authentication
* Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models
* Seeing 3D Objects in a Single 2D Image
* Seeing actions through scene context
* Seeing and Hearing Egocentric Actions: How Much Can We Learn?
* Seeing and Understanding: Representing the Visual World
* Seeing Around Occluding Objects
* Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
* Seeing as it happens: Real time 3D video event visualization
* Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences
* Seeing Behind Occlusions
* Seeing Behind the Camera: Identifying the Authorship of a Photograph
* Seeing Behind the Scene: Analysis of Photometric Properties of Occluding Edges by the Reversed Projection Blurring Model
* Seeing Beneath the Skin with Computational Photography
* Seeing Beyond Lambert's Law
* Seeing beyond occlusions (and other marvels of a finite lens aperture)
* Seeing Biological Motion: Is There a Role for Cognitive Strategies?
* Seeing By Haptic Glance: Reinforcement Learning Based 3d Object Recognition
* Seeing Climate Change: A Framework for Understanding Visualizations for Climate Adaptation
* Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal
* Seeing double without confusion: Structure-from-motion in highly ambiguous scenes
* Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset with Mechatronic Alignment
* Seeing Eye Phone: a smart phone-based indoor localization and guidance system for the visually impaired
* Seeing faces in video by computers. Editorial for Special Issue on Face Processing in Video Sequences
* Seeing Far in the Dark with Patterned Flash
* Seeing Farther Than Supervision: Self-supervised Depth Completion in Challenging Environments
* Seeing Ghost Solutions in Stereo Vision
* Seeing Implicit Neural Representations as Fourier Series
* Seeing in Extra Darkness Using a Deep-Red Flash
* Seeing in the Dark by Component-GAN
* Seeing into Darkness: Scotopic Visual Recognition
* Seeing into the Past: Creating a 3D Modeling Pipeline for Archaeological Visualization
* Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video
* Seeing is Believing: Pedestrian Trajectory Forecasting Using Visual Frustum of Attention
* Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning
* Seeing is not believing
* Seeing is Not Enough
* Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions
* Seeing Machines
* Seeing More Clearly
* Seeing Motion in the Dark
* Seeing Mt. Rainier: Lucky imaging for multi-image denoising, sharpening, and haze removal
* Seeing Objects in Dark with Continual Contrastive Learning
* Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
* Seeing Passenger Car VaMoRs-P, The
* Seeing People in Social Context: Recognizing People and Social Relationships
* Seeing People in the Dark: Face Recognition in Infrared Images
* Seeing Physics or, Physics Is for Prediction
* Seeing Red: PPG Biometrics Using Smartphone Cameras
* Seeing Skin in Reduced Coordinates
* Seeing Small Faces from Robust Anchor's Perspective
* Seeing Stars of Valence and Arousal in Blog Posts
* Seeing Structure Through Chaos
* Seeing Temporal Modulation of Lights from Standard Cameras
* Seeing the Arrow of Time
* Seeing the Battlefield Automatically
* Seeing the Big Picture
* Seeing the Character Images That an OCR System Sees: Analysis by Genetic Algorithm
* Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day
* Seeing the Forest for the Trees: Mapping Cover and Counting Trees from Aerial Images of a Mangrove Forest Using Artificial Intelligence
* Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition
* Seeing the Invisible and Predicting the Unexpected
* Seeing the Invisible: Survey of Video Motion Magnification and Small Motion Analysis
* Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera
* Seeing the Obvious
* Seeing the Sound: A New Multimodal Imaging Device for Computer Vision
* Seeing the Trees before the Forest
* Seeing the Un-scene: Learning Amodal Semantic Maps for Room Navigation
* Seeing the Unseen: Predicting the First-Person Camera Wearer's Location and Pose in Third-Person Scenes
* Seeing the unseen: Wifi-based 2D human pose estimation via an evolving attentive spatial-Frequency network
* Seeing the World Behind the Image: Spatial Layout for 3D Scene Understanding
* Seeing the World in a Bag of Chips
* Seeing the World Through Machinic Eyes: Reflections on Computer Vision in the Arts
* Seeing Through a Black Box: Toward High-Quality Terahertz Imaging via Subspace-and-Attention Guided Restoration
* Seeing through clutter: Snake computation with dynamic programming for particle segmentation
* Seeing Through Darkness: Visual Localization at Night via Weakly Supervised Learning of Domain Invariant Features
* Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
* Seeing through Obscure Glass
* Seeing through shadow: Modelling surface irradiance for topographic correction of Landsat ETM+ data
* Seeing through the blur
* Seeing through the fence: Image de-fencing using a video sequence
* Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels
* Seeing through walls with wireless signals
* Seeing through Water: Image Restoration Using Model-based Tracking
* Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
* Seeing Tree Structure from Vibration
* Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching
* Seeing What a GAN Cannot Generate
* Seeing What is Not There: Learning Context to Determine Where Objects are Missing
* Seeing What You're Told: Sentence-Guided Activity Recognition in Video
* Seeing with radio Wi-Fi-like equipment can see people through walls, measure their heart rates, and gauge emotions
* Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization
* Seeing Without Sight: An Automatic Cognition System Dedicated to Blind and Visually Impaired People
* Seeing: Illusion, Brain and Mind
* Seek-and-Hide: Adversarial Steganography via Deep Reinforcement Learning
* Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation
* Seeking Based on Dynamic Prices: Higher Earnings and Better Strategies in Ride-on-Demand Services
* Seeking multi-thresholds for image segmentation with Learning Automata
* Seeking Optimal GNSS Radio Occultation Constellations Using Evolutionary Algorithms
* Seeking pattern recognition principles for intelligent detection of FSK signals
* Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition
* Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
* Seeking Subjectivity in Visual Emotion Distribution Learning
* Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
* Seeking the Strongest Rigid Detector
* Seelinder: Cylindrical 3D display viewable from 360 degrees, The
* SEEM: A Sequence Entropy Energy-Based Model for Pedestrian Trajectory All-Then-One Prediction
* Seemingly unrelated regression modeling of urban air quality by direct Monte Carlo algorithm
* Seemore: A View-Based Approach to 3-D Object Recognition Using Multiple Visual Cues
* Seemore: Combining Color, Shape, and Texture Histogramming in a Neurally Inspired Approach to Visual Object Recognition
* Seepage mechanism technical practice of hydraulic fracturing of coal seam and auxiliary image simulation technology
* SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization
* Seesaw Loss for Long-Tailed Instance Segmentation
* SeeTek: Very Large-Scale Open-set Logo Recognition with Text-Aware Metric Learning
* SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery
* SeeThrough: Finding Objects in Heavily Occluded Indoor Scene Images
* SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information
* SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images
* Seg-Hashnet: Semantic Segmentation Based Unsupervised Hashing
* Seg-Road: A Segmentation Network for Road Extraction Based on Transformer and CNN with Connectivity Structures
* Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing
* Seg3D: Volumetric Image Segmentation and Visualization
* SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
* SeGAN: Segmenting and Generating the Invisible
* SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation
* SegCaps: An efficient SegCaps network-based skin lesion segmentation in dermoscopic images
* segDeepM: Exploiting segmentation and context in deep neural networks for object detection
* SegDenseNet: Iris Segmentation for Pre-and-Post Cataract Surgery
* SegDetector: A Deep Learning Model for Detecting Small and Overlapping Damaged Buildings in Satellite Images
* SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering
* Segfix: Model-agnostic Boundary Refinement for Segmentation
* SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
* SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel
* SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation
* SegLink++: Detecting Dense and Arbitrary-shaped Scene Text by Instance-aware Component Grouping
* SegMarsViT: Lightweight Mars Terrain Segmentation Network for Autonomous Driving in Planetary Exploration
* Segment-based Approach For Dtm Derivation Of Airborne Lidar Data, A
* Segment-Based Classes for Language Modeling Within the Field of CSR
* Segment-Based Detection of Moving Objects in a Sequence of Images
* Segment-Based Disparity Refinement With Occlusion Handling for Stereo Matching
* Segment-Based Foreground Extraction Dedicated to 3D Reconstruction
* Segment-Based Hand Pose Estimation
* Segment-based image classifcaton using Layered-SOM
* Segment-Based Land Cover Mapping of a Suburban Area: Comparison of High-Resolution Remotely Sensed Datasets Using Classification Trees and Test Field Points
* Segment-based Lidar Odometry for Less Structured Outdoor Scene
* Segment-Based Mesh Design for Building Parallel-Perspective Stereo Mosaics, A
* Segment-Based Methods for Facial Attribute Detection from Partial Faces
* Segment-based models for event detection and recounting
* Segment-Based Multi-View Depth Map Estimation Using Belief Propagation from Dense Multi-View Video
* Segment-based robotic mapping in dynamic environments
* Segment-Based Spatial Analysis for Assessing Road Infrastructure Performance Using Monitoring Observations and Remote Sensing Data
* Segment-Based Stereo-Matching Via Plane and Angle Sweeping
* Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
* Segment-based stereo matching using graph cuts
* Segment-Based Stereo Matching
* Segment-Based Storage and Transcoding Trade-off Strategy for Multi-version VoD Systems in the Cloud, A
* Segment-Based Structure from an Imprecisely Located Moving Camera
* Segment-based view synthesis optimization scheme in 3D-HEVC
* Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images
* Segment-Forest for Segmentation
* Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation
* Segment-Oriented Depiction and Analysis for Hyperspectral Image Data
* Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing
* Segment-Tree Based Cost Aggregation for Stereo Matching
* Segment-wise online learning based on greedy algorithm for real-time multi-target tracking
* Segment 2D and 3D Filaments by Learning Structured and Contextual Features
* Segment Adaptive Gradient Angle Interpolation
* Segment an image by looking into an image corpus
* Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
* Segment and Fusion-Based Stereo Approach, A
* Segment and Label Indoor Scene Based on RGB-D for the Visually Impaired
* Segment and recognize expression phase by fusion of motion area and neutral divergence features
* Segment as Points for Efficient and Effective Online Multi-Object Tracking and Segmentation
* Segment as Points for Efficient Online Multi-object Tracking and Segmentation
* Segment Augmentation and Differentiable Ranking for Logo Retrieval
* Segment based 3D object shape priors
* Segment based co-factor detection and elimination for effective gait recognition
* Segment DPCA Motion Compensation for SAS
* Segment Extraction Using Burns Principles in a Pseudo-color Fuzzy Hough Transform
* Segment Graph Based Image Filtering: Fast Structure-Preserving Smoothing
* Segment Model Based Vehicle Motion Analysis
* Segment Optimisation for Object-Based Landslide Detection
* Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis
* Segment Quadtree: A Linear Quadtree-Based Representation for Linear Features, The
* Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way
* Segmental DCT Coefficient Reversal Based Anti-Collusion Audio Fingerprinting Mechanism
* Segmental Hidden Markov Models for View-based Sport Video Analysis
* Segmental Prediction for Video Coding
* Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation
* Segmentalized mRMR Features and Cost-Sensitive ELM With Fixed Inputs for Fault Diagnosis of High-Speed Railway Turnouts
* Segmentation- and Annotation-Free License Plate Recognition With Deep Localization and Failure Identification
* Segmentation-aided classification of hyperspectral data using spatial dependency of spectral bands
* Segmentation-Assisted Detection of Dirt Impairments in Archived Film Sequences
* Segmentation-Assisted Dirt Detection for the Restoration of Archived Films
* Segmentation-Aware Convolutional Networks Using Local Attention Masks
* Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI, A
* Segmentation-Aware Deformable Part Models
* segmentation-aware object detection model with occlusion handling, A
* Segmentation-Aware Text-Guided Image Manipulation
* Segmentation-Based Adaptive Support for Accurate Stereo Correspondence
* Segmentation-Based Background-Inference and Small-Person Pose Estimation
* Segmentation-Based CFAR Detection Algorithm Using Truncated Statistics, A
* Segmentation-Based Coding System Allowing Manipulation of Objects (SESAME), A
* Segmentation-based compression scheme for 3D animated models
* Segmentation-based document image denoising
* Segmentation-Based Filtering of Airborne LiDAR Point Clouds by Progressive Densification of Terrain Segments
* Segmentation-Based Fine Registration of Very High Resolution Multitemporal Images
* Segmentation-Based Ground Points Detection from Mobile Laser Scanning Point Cloud
* Segmentation-Based Iamge Restoration for Multiple Moving Objects with Different Motions
* Segmentation-based JPEG image artifacts reduction
* Segmentation-based lossless compression for color images
* segmentation-based lossless image coding method for high-resolution medical image compression, A
* Segmentation-based MAP despeckling of medical ultrasound images in shearlet domain based on normal inverse Gaussian distribution
* Segmentation-Based MAP Despeckling of SAR Images in the Undecimated Wavelet Domain
* Segmentation-based method for motion-compensated frame interpolation
* segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners, A
* segmentation-based motion-compensated scheme for low-rate video coding, A
* Segmentation-Based Motion-Compensated Video Coding Using Morphological Filters
* Segmentation-based motion compensation for enhanced video coding
* Segmentation-Based Motion with Occlusions Using Graph-Cut Optimization
* Segmentation-Based Multitask Learning Approach for Isolating Switch State Recognition in High-Speed Railway Traction Substation, A
* Segmentation-based nonlinear image smoothing
* Segmentation-based object tracking using image warping and kalman filtering
* Segmentation-Based Online Change Detection for Mobile Robots
* Segmentation-Based Partial Volume Correction for Volume Estimation of Solid Lesions in CT
* Segmentation-based Perceptual Image Quality Assessment (SPIQA)
* Segmentation-Based PolSAR Image Classification Using Visual Features: RHLBP and Color Features
* Segmentation-Based Postprocessing in Real-Time Immersive Video Conferencing
* segmentation-based predictive multiresolution image coder, A
* Segmentation-based recognition of handwritten touching pairs of digits using structural features
* Segmentation-based recognition system for handwritten Bangla and Devanagari words using conventional classification and transfer learning
* Segmentation-Based Registration of Organs in Intraoperative Video Sequences
* Segmentation-Based Regularization Term for Image Deconvolution, A
* Segmentation-based Spatially Adaptive Motion Blur Removal and Its Application to Surveillance Systems
* Segmentation-based tracking by support fusion
* Segmentation-based Urban Traffic Scene Understanding
* Segmentation-Based Video Coding System Allowing the Manipulation of Objects
* Segmentation-based view synthesis for three-dimensional video
* Segmentation-Driven 6D Object Pose Estimation
* Segmentation-Driven Compound Document Coding Based on H.264/AVC-INTRA
* Segmentation-Driven Direction-Adaptive Discrete Wavelet Transform
* Segmentation-Driven Image Fusion Based on Alpha-Stable Modeling of Wavelet Coefficients
* Segmentation-Driven Image Registration-Application to 4D DCE-MRI Recordings of the Moving Kidneys
* Segmentation-Driven Offline Handwritten Chinese and Arabic Script Recognition
* Segmentation-driven perceptual quality metrics
* Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents
* segmentation-free approach for keyword search in historical typewritten documents, A
* segmentation-free approach for printed Devanagari script recognition, A
* segmentation-free approach for skeletonization of gray-scale images via anisotropic vector diffusion, A
* segmentation-free approach to OCR, A
* segmentation-free approach to recognise printed Sinhala script using linear symmetry, A
* Segmentation-Free Approach to Text Recognition Recognition with Application to Arabic Text, A
* segmentation-free biometric writer verification method based on continuous dynamic programming, A
* Segmentation-Free Detection of Comic Panels
* Segmentation-free Direct Iris Localization Networks
* Segmentation-Free Dynamic Scene Deblurring
* Segmentation-Free Estimation of Kidney Volumes in CT with Dual Regression Forests
* Segmentation-free estimation of length distributions using sieves and RIA morphology
* Segmentation-free handwritten Chinese text recognition with LSTM-RNN
* Segmentation-Free Keyword Retrieval in Historical Document Images
* Segmentation-Free Keyword Spotting for Handwritten Documents Based on Heat Kernel Signature
* Segmentation-free pattern spotting in historical document images
* Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network
* Segmentation-free query-by-string word spotting with Bag-of-Features HMMs
* Segmentation-Free Recognition Technique to Assist Old Greek Handwritten Manuscript OCR, A
* Segmentation-free recognizer based on enhanced four plane feature for realistic Chinese handwriting
* Segmentation-free Skeletonization of Gray-scale Images via PDE's
* Segmentation-Free Super-Resolved 4D flow MRI Reconstruction Exploiting Navier-Stokes Equations and Spatial Regularization
* Segmentation-Free Word Spotting in Historical Printed Documents
* Segmentation-free word spotting using SIFT
* Segmentation-free word spotting with exemplar SVMs
* Segmentation-Free, Area-Based Articulated Object Tracking
* Segmentation-grounded Scene Graph Generation
* Segmentation-Guided Tracking with Prior Map Decision
* Segmentation-Reconstruction-Guided Facial Image De-Occlusion
* Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
* Segmentation-robust representations, matching, and modeling for sign language
* Segmentation-tracking feedback approach for high-performance video surveillance applications
* Segmentation According to Natural Examples: Learning Static Segmentation from Motion Segmentation
* Segmentation Algorithm for Color Images, A
* segmentation algorithm for contrast-enhanced images, A
* Segmentation Algorithm for Noisy Images, A
* segmentation algorithm for noisy images: Design and evaluation, A
* segmentation algorithm for SAR images based on the anisotropic heat diffusion equation, A
* Segmentation Algorithm of Polyhedral Scene Using Three Dimensional Information, A
* Segmentation Algorithm of the Valid Region in Fisheye Images Using Edge and Region Information
* Segmentation and 2D Motion Estimation by Region Fragments
* Segmentation and 3-D Recovery of Curved-Axis Generalized Cylinders from an Intensity Image
* Segmentation and 3D Reconstruction of Non-Rigid Shape from RGB Video
* Segmentation and Abstract Interpretation in an Image Understanding System
* Segmentation and Aggregation: An Approach to Figure-Ground Phenomena
* Segmentation and Analysis of 3D Volume Images
* Segmentation and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images
* Segmentation and Analysis of Liver Cancer Pathological Color Images based on Artificial Neural Networks
* Segmentation and analysis of nerve fibers in histologic sections of the cerebral human cortex
* Segmentation and analysis of the human airway tree from three-dimensional X-ray CT images
* Segmentation and Analysis of the Oral and Nasal Cavities from MR Time Sequences
* Segmentation and Analysis of Vocal Tract from MidSagittal Real-Time MRI
* Segmentation and Appearance Model Building from an Image Sequence
* Segmentation and Association Among Lines and Junctions for a Line Image
* Segmentation and Boundary Detection Using Multiscale Intensity Measurements
* Segmentation and Cell Tracking of Breast Cancer Cells
* Segmentation and classification of 3-D spots in FISH images
* Segmentation and Classification of Edges Using Minimum Description Length Approximation and Complementary Junction Cues
* Segmentation and Classification of Geoenvironmental Zones of Interest in Aerial Images Using the Bounded Irregular Pyramid
* Segmentation and classification of ground glass nodule on CT images
* Segmentation and Classification of Human Forms using LADAR Data
* Segmentation and Classification of Hyperspectral Images Using Minimum Spanning Forest Grown From Automatically Selected Markers
* Segmentation and classification of hyperspectral images using watershed transformation
* Segmentation and classification of meeting events using multiple classifier fusion and dynamic programming
* Segmentation and classification of melanocytic skin lesions using local and contextual features
* Segmentation and Classification of Mixed Text/Graphics/Image Documents
* Segmentation and classification of modeled actions in the context of unmodeled ones
* Segmentation and Classification of Nepal Earthquake Induced Landslides Using Sentinel-1 Product
* Segmentation and Classification of Objects with Implicit Scene Context
* Segmentation and Classification of Polarimetric SAR Data Using Spectral Graph Partitioning
* Segmentation and Classification of Range Images
* Segmentation and classification of road markings using MLS data
* Segmentation and Classification of Targets in FLIR Imagery
* Segmentation and classification of tuberculosis bacilli from ZN-stained sputum smear images
* Segmentation and Clustering of Car-Following Behavior: Recognition of Driving Patterns
* Segmentation and coding of Arabic handwritten words
* Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modeling
* Segmentation and Content-Based Watermarking for Color Image and Image Region Indexing and Retrieval
* Segmentation and Contour Closing of Textured and Non-Textured Images Using Distances Between Textures
* Segmentation and Crown Parameter Extraction of Individual Trees in an Airborne Tomosar Point Cloud
* Segmentation and Denoising via an Adaptive Threshold Mumford-Shah-Like Functional
* Segmentation and Description Based on Perceptual Organization
* Segmentation and Description of Binocularly Viewed Contours
* Segmentation and description of natural outdoor scenes
* Segmentation and detection from organised 3D point clouds: A case study in broccoli head detection
* Segmentation and Detection of Colorectal Polyps Using Local Polynomial Approximation
* Segmentation and Detection of Nuclei in Silver Stained Cell Specimens for Early Cancer Diagnosis
* Segmentation and Edge-Preserving Restoration
* Segmentation and Enhancement of Latent Fingerprints: A Coarse to Fine Ridge Structure Dictionary
* Segmentation and estimation of image motion by a robust method
* Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation
* Segmentation and Estimation of Spatially Varying Illumination
* Segmentation and estimation of the optical flow
* Segmentation and extraction of the spinal canal in sagittal MR images
* Segmentation and Factorization-Based Motion and Structure Estimation for Long Image Sequences
* Segmentation and feature extraction for magnetic resonance brain image analysis
* Segmentation and Feature Extraction of Handwritten Signature Patterns
* Segmentation and Feature Extraction to Evaluate the Stomach Dynamic
* Segmentation and features extraction techniques, with applications to biomedical images
* Segmentation and Free Space Detection Using Gabor Filters
* Segmentation and Fuzzy-Logic Classification of M-FISH Chromosome Images
* Segmentation and Grouping of Object Boundaries Using Energy Minimization
* Segmentation and Guidance of Multiple Rigid Objects for Intra-operative Endoscopic Vision
* Segmentation and histogram generation using the HSV color space for image retrieval
* Segmentation and Identification of Handwriting in Noisy Document Images, The
* Segmentation and Identification of Small Intestinal Lesions Based on U-Net with Batch Normalization and Virtual Sample
* Segmentation and Image Enhancement Using Coupled Anisotropic Diffusion
* Segmentation and indexation of complex objects in comic book
* Segmentation and Interpretation of Multicolored Objects with Highlights
* Segmentation and Interpretation Using Multiple Physical Hypotheses of Image Formation
* Segmentation and Labelling of EEG for Brain Computer Interfaces
* Segmentation and localisation of whole slide images using unsupervised learning
* Segmentation and matching: Towards a robust object detection system
* Segmentation and Measurement of the Cortex from 3-D MR Images Using Coupled-Surfaces Propagation
* Segmentation and modeling of approximately rotationally symmetric objects in 3D ultrasound
* Segmentation and Modeling of Full Human Body Shape From 3-D Scan Data: A Survey
* Segmentation and multi-model approximation of digital curves
* Segmentation and Normalisation in Grapheme Codebooks
* Segmentation and object detection with Gabor filters and cumulative histograms
* segmentation and object extraction algorithm with linear memory and time constraints, A
* Segmentation and object extraction from anisotropic diffusion filtered LiDAR intensity data
* Segmentation and Pose Estimation of Planar Metallic Objects
* Segmentation and pre-recognition of Arabic handwriting
* Segmentation and Preprocessing of Electrical Schematics Using Picture Graphs
* Segmentation and Probabilistic Registration of Articulated Body Models
* Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT
* Segmentation and Quantification of Blood Vessels in 3D Images using a Right Generalized Cylinder State Model
* Segmentation and Quantification of Human Vessels Using a 3-D Cylindrical Intensity Model
* Segmentation and range sensing using a moving-aperture lens
* Segmentation and Recognition of Arabic Characters by Structural Classification
* Segmentation and recognition of characters in scene images using selective binarization in color space and GAT correlation
* Segmentation and recognition of characters on Tulu palm leaf manuscripts
* Segmentation and recognition of Chinese bank check amounts
* Segmentation and Recognition of Connected Handwritten Numeral Strings
* Segmentation and Recognition of Continuous Gestures
* Segmentation and Recognition of Continuous Handwriting Chinese Text
* Segmentation and Recognition of Continuous Human Activity
* Segmentation and Recognition of Dimensioning Text from Engineering Drawings
* Segmentation and recognition of handwritten dates
* Segmentation and recognition of handwritten dates: An HMM-MLP hybrid approach
* Segmentation and Recognition of Handwritten Pitman Shorthand Outlines Using an Interactive Heuristic Search
* Segmentation and Recognition of Petroglyphs Using Generic Fourier Descriptors
* Segmentation and recognition of phonetic features in handwritten Pitman shorthand
* Segmentation and Recognition of Printed Arabic Characters
* Segmentation and Recognition of Traffic Signs Using Shape Information
* Segmentation and recognition of vocalized outlines in Pitman shorthand
* Segmentation and Recognition Strategy for Handwritten Phrases, A
* Segmentation and Recognition Strategy of Handwritten Connected Digits Based on the Oriented Sliding Window
* Segmentation and Recognition Using Structure from Motion Point Clouds
* Segmentation and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds
* Segmentation and Reconstruction of Online Handwritten Scripts
* Segmentation and Reconstruction of Polyhedral Building Roofs From Aerial Lidar Point Clouds
* Segmentation and Recovery of SHGCS from a Real Intensity Image
* Segmentation and Recovery of Superquadrics
* Segmentation and Rectification of Pictures in the Camera-Captured Images of Printed Documents
* Segmentation and region of interest based image retrieval in low depth of field observations
* Segmentation and registration based analysis of microscopy images
* Segmentation and removal of pulmonary arteries, veins and left atrial appendage for visualizing coronary and bypass arteries
* Segmentation and Restoration of Images on Surfaces by Parametric Active Contours with Topology Changes
* Segmentation and root localization for analysis of dental radiographs
* Segmentation and scene modeling for MIL-based target localization
* Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting
* Segmentation and Shape Extraction from Convolutional Neural Networks
* Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model
* Segmentation and size estimation of tomatoes from sequences of paired images
* Segmentation and supervised classification of image objects in Epo doping-control
* Segmentation and Surface-Based Modeling of Objects in Three-Dimensional Biomedical Images
* Segmentation and Surface Characterization of Arbitrary 3d Meshes for Object Reconstruction and Recognition
* Segmentation and Thematic Classification of Color Orthophotos Over Non-Compressed And JPEG 2000 Compressed Images
* Segmentation and Tracking in Echocardiographic Sequences: Active Contours Guided by Optical Flow Estimates
* Segmentation and tracking individual Pseudomonas aeruginosa bacteria in dense populations of motile cells
* Segmentation and Tracking Multiple Objects Under Occlusion From Multiview Video
* Segmentation and tracking of faces in color images
* Segmentation and tracking of interacting human body parts under occlusion and shadowing
* Segmentation and Tracking of Mammary Epithelial Organoids in Brightfield Microscopy
* Segmentation and Tracking of Mesoscale Eddies in Numeric Ocean Models
* Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours: a tool for cell-based drug testing
* Segmentation and tracking of moving objects for content-based video coding
* Segmentation and Tracking of Multiple Humans in Complex Situations
* Segmentation and Tracking of Multiple Humans in Crowded Environments
* Segmentation and tracking of multiple interacting mice by temperature and shape information
* Segmentation and tracking of multiple video objects
* Segmentation and tracking of partial planar templates
* Segmentation and Tracking of Piglets in Images
* Segmentation and Tracking of Progenitor Cells in Time Lapse Microscopy
* Segmentation and tracking of static and moving objects in video surveillance scenarios
* Segmentation and tracking of video objects for a content-based video indexing context
* Segmentation and Tracking of Video Objects: Suited to Content-based Video Indexing, Interactive Television and Production Systems
* Segmentation and typography extraction in document images using geodesic active regions
* Segmentation and visualization of left ventricle in MR cardiac images
* Segmentation and Visualization of Multivariate Features Using Feature-Local Distributions
* Segmentation and Volume Representation Based on Spheres for Non-rigid Registration
* Segmentation and Word Spotting Methods for Printed and Handwritten Arabic Texts: A Comparative Study
* Segmentation approach and comparison to hyperspectral object detection algorithms
* Segmentation approach by learning: different image applications
* Segmentation Approach in Novel Real Time 3D Plant Recognition System, A
* Segmentation Approach to Classification of Remote Sensing Imagery, A
* Segmentation as a Riemannian drum problem
* Segmentation as selective search for object recognition
* Segmentation as the Search for the Best Description of Images in Terms of Primitives
* Segmentation based analysis of high resolution remotely sensed data for forest diversity characterization
* segmentation based approach for shape recovery from multi-color images, A
* Segmentation Based Classification of 3D Urban Point Clouds: A Super-Voxel Based Approach with Evaluation
* Segmentation based compression for graylevel images
* Segmentation based Denoising using Multiple Compaction Domains
* Segmentation based disparity estimation using color and depth information
* Segmentation Based Environment Modeling Using a Single Image
* Segmentation Based Features for Lymph Node Detection from 3-D Chest CT
* Segmentation based image compression system
* Segmentation Based Image Compression
* Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods
* Segmentation based linear predictive coding of multispectral images
* Segmentation based microscope autofocusing for blood smears
* Segmentation Based Multi-Cue Integration for Object Detection
* Segmentation Based Noise Variance Estimation from Background MRI Data
* Segmentation based on fusion of range and intensity images using robust trimmed methods
* Segmentation Based on Measures of Contrast, Homogeneity, and Region Size
* Segmentation Based on Region-Tracking in Image Sequences for Traffic Monitoring
* Segmentation Based on Routing Image Algorithms
* Segmentation Based Online Word Recognition: A Conditional Random Field Driven Beam Search Strategy
* Segmentation Based Particle Filtering for Real-Time 2D Object Tracking
* Segmentation Based Recovery of Arbitrarily Warped Document Images
* Segmentation Based Reversible Image Compression
* Segmentation based robust interpolation: A new approach to laser data filtering
* Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images
* Segmentation Based Steganalysis of Spatial Images Using Local Linear Transform
* Segmentation Based Tone-Mapping for High Dynamic Range Images
* Segmentation Based Urdu Nastalique OCR
* Segmentation Based Variational Model for Accurate Optical Flow Estimation, A
* Segmentation by a Local and Global Fuzzy Gaussian Distribution Energy Minimization of an Active Contour Model
* Segmentation by Classification for Through-the-Wall Radar Imaging Using Polarization Signatures
* Segmentation by combining parametric optical flow with a color model
* Segmentation by Continuous Latent Semantic Analysis for Multi-Structure Model Fitting
* Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
* Segmentation by Grouping Junctions
* Segmentation by Level Sets and Symmetry
* Segmentation by Minimal Description
* Segmentation by Minimum Length Encoding
* Segmentation by Nonlinear Diffusion
* Segmentation by Nonlinear Diffusion, II
* Segmentation by Region Growing Techniques
* Segmentation by Smoothing B-Spline Active Surface
* Segmentation by Split and Merge Techniques, Hierarchical
* Segmentation by temporal detection integration
* Segmentation by Texture Using a Co-Occurrence Matrix and a Split-and-Merge Algorithm
* Segmentation by Texture Using a Split-and-Merge Algorithm
* Segmentation by Texture Using Correlation
* Segmentation by Thresholding
* Segmentation by Thresholding, Quantization, or Relaxation
* Segmentation by transduction
* Segmentation by weighted aggregation and perceptual hash for pedestrian detection
* Segmentation Characterization for Change Detection
* Segmentation coding using edge detection and region merging
* Segmentation d'Images Couleur par partitions de Voronoi
* Segmentation d'images de mots manuscrits
* Segmentation d'images par cooperation contours-regions
* Segmentation Driven Low-rank Matrix Recovery for Saliency Detection
* Segmentation Driven Object Detection with Fisher Vectors
* Segmentation Edit Distance
* Segmentation enhances material analysis in multi-energy CT: A simulation study
* Segmentation for brain magnetic resonance images using dual-tree complex wavelet transform and spatial constrained self-organizing tree map
* Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors
* Segmentation for High-Resolution Optical Remote Sensing Imagery Using Improved Quadtree and Region Adjacency Graph Technique
* Segmentation for Hyperspectral Images with Priors
* Segmentation for Iris Localisation: A Novel Approach Suitable for Fake Iris Detection
* Segmentation for Multiple Sclerosis Lesions Based on 3D Volume Enhancement and 3D Alpha Matting
* Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
* Segmentation for Robust Tracking in the Presence of Severe Occlusion
* Segmentation Framework Based on Label Field Fusion
* Segmentation Free Object Discovery in Video
* segmentation free Word Spotting for handwritten documents, A
* Segmentation from a box
* Segmentation from motion of non-rigid objects by neuronal lateral interaction
* Segmentation from Motion: Combining Gabor- and Mallat-Wavelets to Overcome Aperture and Correspondence Problem
* Segmentation from motion: Combining Gabor- and Mallat-Wavelets to Overcome the Aperture and Correspondence Problems
* Segmentation from Natural Language Expressions
* Segmentation fusion for connectomics
* Segmentation given partial grouping constraints
* Segmentation Guided Scoring of Pathological Lesions in Swine Through CNNs
* Segmentation in 2D and 3D Image Using Tissue-Like P System
* Segmentation in Acronym
* Segmentation in Corridor Environments: Combining Floor and Ceiling Detection
* Segmentation in Dynamic Image Sequences by Isolation of Coherent Wave Profiles
* Segmentation in Echocardiographic Sequences Using Shape-Based Snake Model
* Segmentation in multi-view video via color, depth and motion cues
* Segmentation in scale space
* Segmentation in Ultrasonic B-Mode Images of Healthy Carotid Arteries Using Mixtures of Nakagami Distributions and Stochastic Optimization
* Segmentation in Weakly Labeled Videos via a Semantic Ranking and Optical Warping Network
* Segmentation Induced by Scale Invariance
* Segmentation information with attention integration for classification of breast tumor in ultrasound image
* Segmentation Informed by Manifold Learning
* Segmentation mask guided end-to-end person search
* Segmentation Method Based on Fusion Algorithm for Coronary Angiograms
* Segmentation Method Based on Fuzzy Topology and Clustering, A
* Segmentation Method Based on Motion from Image Sequence and Depth, A
* segmentation method for bibliographic references by contextual tagging of fields, A
* segmentation method for handwritten Japanese character lines based on transitional information, A
* Segmentation method for medical image based on improved GrabCut
* segmentation method for multi-connected particle delineation, A
* segmentation method for touching italic characters, A
* segmentation method for touching Japanese handwritten characters based on connecting condition of lines, A
* Segmentation Method for Tree Crown Detection and Modelling from LiDAR Measurements, A
* Segmentation method for use against moving objects
* Segmentation method of multiple sclerosis lesions based on 3D-CNN networks
* Segmentation Method of Single- and Multiple-Touching Characters in Offline Handwritten Japanese Text Recognition, A
* Segmentation Method Using Compound Markov Random Fields Based on a General Boundary Model, A
* Segmentation Methodology for Automated Classification and Differentiation of Soft Tissues in Multiband Images of High-Resolution Ultrasonic Transmission Tomography
* Segmentation Methods for Character Recognition: From Segmentation to Document Structure Analysis
* Segmentation methods for detection of stationary vehicles in combined elevation and optical data
* Segmentation Methods for Recognition of Machine-Printed Characters
* Segmentation Model and Application to Endoscopic Images, A
* Segmentation Model Using Compound Markov Random Fields Based on a Boundary Model, A
* Segmentation modeling
* Segmentation models diversity for object proposals
* Segmentation non Supervisee d'Images Multispectrales par Chaines de Markov Cachees
* Segmentation of 2 1/2 D brain image stacks with automatic extraction and visualization of functional information
* Segmentation of 2D and 3D Images Through a Hierarchical Clustering Based on Region Modeling
* Segmentation of 2D and 3D Images Through a Hierarchical Clustering Based on Region Modelling
* Segmentation of 2D and 3D Objects with Intrinsically Similarity Invariant Shape Regularisers
* Segmentation of 3-D Range Images Using Pyramidal Data Structures
* Segmentation of 3D-volumes Using Second Derivatives
* Segmentation of 3D Articulated Components by Slice-Based Vertex-Weighted Reeb Graph
* Segmentation of 3D Articulated Objects by Dynamic Grouping of Discontinuities
* Segmentation of 3D CT Volume Images Using a Single 2D Atlas
* Segmentation of 3D Head MR Images Using Morphological Reconstruction Under Constraints and Automatic Selection of Markers
* Segmentation of 3D Images Using the Random Walking Technique on a Randomly Created Image Adjacency Graph, The
* Segmentation of 3D Meshes Using p-Spectral Clustering
* Segmentation of 3D object in volume dataset using active deformable model
* Segmentation of 3D Objects from MRI Volume Data Using Constrained Elastic Deformations of Flexible Fourier Surface Models
* Segmentation of 3D outdoor scenes using hierarchical clustering structure and perceptual grouping laws
* Segmentation of 3D Photogrammetric Point Cloud for 3D Building Modeling
* Segmentation of 3D Point Cloud Data Representing Full Human Body Geometry: A Review
* Segmentation of 3D points from range camera data using scanlines
* Segmentation of 3D textured images using continuous wavelet transform
* Segmentation of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts
* Segmentation of a Class of Ophtalmological Images Using a Directional Variance Operator and Cooccurrence Arrays
* Segmentation of a head into face, ears, neck and hair for knowledge-based analysis-synthesis coding of videophone sequences
* Segmentation of a High-Resolution Urban Scene Using Texture Operators
* Segmentation of a Piece-Wise Planar Scene from Perspective Images
* Segmentation of a Seismic Section Using Image Processing and Artificial Intelligence Techniques
* Segmentation of a Thematic Mapper Image Using the Fuzzy C-Means Clustering Algorithms
* Segmentation of a Vector Field: Dominant Parameter and Shape Optimization
* Segmentation of a Wrap-Around Model Using an Active Contour
* Segmentation of Abdominal Organs Incorporating Prior Knowledge in Small Animal CT
* Segmentation of Acne Vulgaris Lesions
* Segmentation of airborne laser scanning data using a slope adaptive neighborhood
* Segmentation of Aliasing Artefacts in Ultrasound Color Flow Imaging Using Convolutional Neural Networks
* Segmentation of an Image Sequence Using Multi-Dimensional image attributes
* Segmentation of anatomical structures from 3D brain MRI using automatically-built statistical shape models
* Segmentation of Anatomical Structures in Brain MR Images Using Atlases in FSL: A Quantitative Approach
* Segmentation of Anatomical Structures in Four-Chamber View Echocardiogram Images
* Segmentation of Arabic Cursive Script
* Segmentation of Arabic Handwriting Based on both Contour and Skeleton Segmentation
* Segmentation of Arteries in Minimally Invasive Surgery Using Change Detection
* Segmentation of Artery Wall in Coronary IVUS Images: A Probabilistic Approach
* Segmentation of Axillary and Supraclavicular Tumoral Lymph Nodes in PET/CT: A Hybrid CNN/Component-Tree Approach
* Segmentation of Bangla unconstrained handwritten text
* Segmentation of Bilevel Images Using Mathematical Morphology
* Segmentation of Blood Images Using Morphological Operators
* Segmentation of Blood Smears by Hierarchical Thresholding
* Segmentation of blurred objects by classification of isolabel contours
* Segmentation of bone marrow stromal cells in phase contrast microscopy images
* Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features
* Segmentation of brain magnetic resonance images using a novel fuzzy clustering based method
* Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
* Segmentation of Brain MR Images Using Reformative Expectation-maximization Algorithm, The
* Segmentation of brain MRI using active contour model
* Segmentation of Brain Tissue from MR Images
* Segmentation of brain tumor subregions with depthwise separable dense U-NET (DSDU-NET)
* Segmentation of Brain Tumors in CT Images Using Level Sets
* Segmentation of Brain Tumors in Multi-parametric MR Images via Robust Statistic Information Propagation
* Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE
* Segmentation of Breast MRI Scans in the Presence of Bias Fields
* Segmentation of bright targets using wavelets and adaptive thresholding
* Segmentation of brush strokes by saliency preserving dual graph contraction
* Segmentation of Building Facade Domes
* Segmentation of Building Facade Towers
* Segmentation of building facades using procedural shape priors
* Segmentation of cam-type femurs from CT scans
* Segmentation of cancellous bone from high-resolution computed tomography images: influence on trabecular bone measurements
* Segmentation of Cardiac Cine MR Images for Extraction of Right and Left Ventricular Chambers
* Segmentation of Carotid Arteries in CTA Images
* Segmentation of cell clusters in Pap smear images using intensity variation between superpixels
* Segmentation of Cell Nuclei in Arabidopsis Thaliana Roots
* Segmentation of Cell Nuclei in Fluorescence Microscopy Images Using Deep Learning
* Segmentation of cell nuclei in fluorescence microscopy images: An integrated framework using level set segmentation and touching-cell splitting
* Segmentation of Cell Nuclei in Tissue by Combining Seeded Watersheds with Gradient Information
* Segmentation of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach
* Segmentation of cells in electron microscopy images through multimodal label transfer
* Segmentation of cellular structures in actin tagged fluorescence confocal microscopy images
* Segmentation of Cervical Cell Images
* Segmentation of Cervical Cells: Detection of Overlapping Cell Nuclei
* Segmentation of Chinese Postal Envelope Images for Address Block Location
* Segmentation of Chromatic Images
* Segmentation of Circular and Rectangular Shapes in an Image Using Helmholtz Principle
* Segmentation of clusters by template rotation expectation maximization
* Segmentation of Coarse and Fine Scale Features Using Multi-scale Diffusion and Mumford-Shah
* Segmentation of Collagen Fiber Bundles in 3D by Waterfall on Orientations
* Segmentation of Color Image Using Deterministic Annealing EM
* Segmentation of Color Images Based on the Gravitational Clustering Concept
* Segmentation of color images of plants with a Markovian Mean Shift
* Segmentation of color images using a two-stage self-organizing network
* Segmentation of Color Images Using Multiscale Clustering and Graph Theoretic Region Synthesis
* Segmentation of color images via reversible jump MCMC sampling
* Segmentation of Color Textures
* Segmentation Of Colour Images Containing Highly Similar Colour Regions
* Segmentation of colour images using variational expectation-maximization algorithm
* Segmentation of Colour Images with Highlights and Shadows Using Fuzzy-like Reasoning
* Segmentation of complex buildings from aerial images and 3D surface reconstruction
* Segmentation of Complex Images Based on Component-Trees: Methodological Tools
* Segmentation of complex nucleus configurations in biological images
* Segmentation of Compressed Documents
* Segmentation of connected Chinese characters based on genetic algorithm
* Segmentation of connected handwritten numeral strings
* Segmentation of connected handwritten numerals by graph representation
* Segmentation of Cortical Spreading Depression Wavefronts Through Local Similarity Metric
* Segmentation of crowd flow by trajectory clustering in active contours
* Segmentation of crystalline lens in photorefraction video
* Segmentation of Cursive Handwriting: An Approach Based on Off-Line Recovery of the Motor-Temporal Information, The
* Segmentation of Damaged Buildings from Laser Scanning Data
* Segmentation Of Defects In Textile Fabric
* Segmentation of defects on log surface from terrestrial lidar data
* Segmentation of deformable templates with level sets characterized by particle systems
* Segmentation of Degraded Malayalam Words: Methods and Evaluation
* Segmentation of Dense 2D Bacilli Populations
* Segmentation of Dense Leukocyte Clusters
* Segmentation of Depth-of-Field Images Based on the Response of ICA Filters
* Segmentation of dermatoscopic images by stabilized inverse diffusion equations
* Segmentation of Dermoscopy Images Based on Fully Convolutional Neural Network
* Segmentation of Digital Curves Using Linguistic Techniques
* Segmentation of Digital Images Using a Priori Information about the Expected Image Contents
* Segmentation of Digital Plane-Curves: A Dynamic Focusing Approach
* Segmentation of Discrete Curves into Fuzzy Segments
* Segmentation of discrete point clouds using an extensible set of templates
* Segmentation of Distinct Homogeneous Color Regions in Images
* Segmentation of diverse image types using opening and closing
* Segmentation of DNA microarray images using an adaptive graph-based method
* Segmentation of Document Images
* Segmentation of Drosophila RNAI Fluorescence Images Using Level Sets
* Segmentation of Dynamic Emission Tomography Data in Projection Space
* Segmentation of dynamic objects in video sequences fusing the strengths of a background subtraction model, optical flow and matting algorithms
* Segmentation of dynamic scenes from image intensities
* Segmentation of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies
* Segmentation of echocardiographic images with Markov random fields
* Segmentation of echocardiographic images
* Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes
* Segmentation of Edges into Lines and Arcs
* Segmentation of elongated objects using attribute profiles and area stability: Application to melanocyte segmentation in engineered skin
* Segmentation of external force field for automatic initialization and splitting of snakes
* Segmentation of Exudates and Optic Disk in Retinal Images
* Segmentation of Faces in Video Footage Using Controlled Weights on HSV Color
* Segmentation of faces in video footage using HSV color for face detection and image retrieval
* Segmentation of Façades from Urban 3D Point Clouds Using Geometrical and Morphological Attribute-Based Operators
* Segmentation of Femoral Head from CT after Femoral Neck Fracture
* Segmentation of Fingerprint Images Using the Directional Image
* Segmentation of fingerprint images: A composite method
* Segmentation of FLIR images by Hopfield neural network with edge constraint
* Segmentation of FLIR Images by Pixel Classification
* Segmentation of FLIR Images: A Comparative Study
* Segmentation of fMRI Data by Maximization of Region Contrast
* Segmentation of Frame Sequence Obtained by a Moving Observer
* Segmentation of fuzzy images: A novel and fast two-step pseudo MAP method
* Segmentation of Gabor-Filtered Textures Using Deterministic Relaxation
* Segmentation of gait cycles using foot-mounted 3D accelerometers
* Segmentation of Gated SPECT Images for Automatic Computation of Myocardial Volume and Ejection Fraction
* Segmentation of Geometric Signals Using Robust Fitting
* Segmentation of glioma tumors using convolutional neural networks
* Segmentation of Global Motion using Temporal Probabilistic Classification
* Segmentation of Graphical Objects as Maximally Stable Salient Regions
* Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions
* Segmentation of Green Areas Using Bivariate Histograms Based in Hue-Saturation Type Color Spaces
* Segmentation of green vegetation of crop canopy images based on mean shift and Fisher linear discriminant
* Segmentation of handprinted letter strings using a dynamic programming algorithm
* Segmentation of Handwritten Arabic Graphemes Using a Directed Convolutional Neural Network and Mathematical Morphology Operations
* Segmentation of Handwritten Characters for Digitalizing Korean Historical Documents
* Segmentation of Handwritten Characters
* Segmentation of Handwritten Connected Numeral String Using Background and Foreground Analysis
* Segmentation of Handwritten Interference Marks Using Multiple Directional Stroke Planes and Reformalized Morphological Approach
* Segmentation of Handwritten Kanji Numerals Integrating Peripheral Information by Bayesian Rule
* Segmentation of Handwritten Signature Images Using the Statistics of Directional Data
* Segmentation of Handwritten Textlines in Presence of Touching Components
* Segmentation of harmonic syllables in noisy recordings of bird vocalisations
* Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss
* Segmentation of heterogeneous blob objects through voting and level set formulation
* Segmentation of High Angular Resolution Diffusion MRI Modeled as a Field of von Mises-Fisher Mixtures
* Segmentation of High Angular Resolution Diffusion MRI Using Sparse Riemannian Manifold Clustering
* Segmentation of High Spatial Resolution Remote Sensing Imagery Based on Hard-Boundary Constraint and Two-Stage Merging
* Segmentation of Highly Lignified Zones in Wood Fiber Cross-Sections
* Segmentation of highly unstructured handwritten documents using a neural network technique
* Segmentation of Histopathological Sections Using Snakes
* Segmentation of historical machine-printed documents using Adaptive Run Length Smoothing and skeleton segmentation paths
* Segmentation of Human Body Parts Using Deformable Triangulation 2
* Segmentation of Human Body Parts Using Deformable Triangulation
* Segmentation of Human Faces in Color Images Using Connected Operators
* Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis
* Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins
* Segmentation of Hyperspectral Images via Subtractive Clustering and Cluster Validation Using One-Class Support Vector Machines
* Segmentation of image features using hierarchical analysis of multi-valued image data and weighted averaging of segmentation results
* Segmentation of Image Pairs for 3d Reconstruction
* Segmentation of Image Sequences for Object Oriented Coding
* Segmentation of Image Sequences Using SOFM Networks
* Segmentation of Imagery Using Network Snakes
* Segmentation of Images Based on Intensity Gradient Information
* Segmentation of images for environmental studies using a simple Markov/Gibbs random field model
* Segmentation of Images Having Unimodal Distributions
* Segmentation of Images Into Regions Using Edge Information
* Segmentation of Images of Lead Free Solder
* Segmentation of Images on Polar Coordinate Meshes
* Segmentation of images through curve fitting analysis by modified Vandermonde matrix and modified Gram-Schmidt method
* Segmentation of Images Using a Relaxation Technique
* Segmentation of Images via Scale-space Trees, The
* Segmentation of Images with Incompletely Specified Regions
* Segmentation of images with separating layers by fuzzy c-means and convex optimization
* Segmentation of infant brain MR images based on adaptive shape prior and higher-order MGRF
* Segmentation of Inter-neurons in Three Dimensional Brain Imagery
* Segmentation of Intertwining Stringlike Objects in Three Dimensional CT Image Based on Positional Information
* Segmentation of Intra-Retinal Layers From Optical Coherence Tomography Images Using an Active Contour Approach
* Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net
* Segmentation of Intracranial Vessels and Aneurysms in Phase Contrast Magnetic Resonance Angiography Using Multirange Filters and Local Variances
* Segmentation of ISAR Images of Targets Moving in Formation
* Segmentation of ischemic stroke area from CT brain images
* Segmentation of Japanese Handwritten Characters Using Peripheral Feature Analysis
* Segmentation of Kidney by Using a Deformable Model
* Segmentation of Kidney Cortex in MRI Studies using a Constrained Morphological 3D H-maxima Transform
* Segmentation of kidney from ultrasound images based on texture and shape priors
* Segmentation of kidneys from computed tomography using 3D fast GrowCut algorithm
* Segmentation of Knee Thermograms for Detecting Inflammation
* Segmentation of Laparoscopic Images for Computer Assisted Surgery
* Segmentation of Laparoscopic Images: Integrating Graph-Based Segmentation and Multistage Region Merging
* Segmentation of large-scale remotely sensed images on a Spark platform: A strategy for handling massive image tiles with the MapReduce model
* Segmentation of large brain lesions
* Segmentation of Large Historical Manuscript Bundles into Multi-page Deeds
* Segmentation of large images based on super-pixels and community detection in graphs
* Segmentation of Laser Point Clouds in Urban Areas by a Modified Normalized Cut Method
* Segmentation of left ventricle from 3D cardiac MR image sequences using a subject-specific dynamical model
* Segmentation of left ventricle on dynamic MRI sequences for blood flow cancellation in Thermotherapy
* Segmentation of left ventricles from echocardiographic sequences via sparse appearance representation
* Segmentation of Lesion in Dermoscopy Images Using Dense-Residual Network with Adversarial Learning
* Segmentation of LIDAR and InSAR Elevation Data for Building Reconstruction
* Segmentation of LiDAR Intensity Using CNN Feature Based on Weighted Voting
* Segmentation of light field image with the structure tensor
* Segmentation of Lip Pixels for Lip Tracker Initialisation
* Segmentation of Liver in Low-Contrast Images Using K-Means Clustering and Geodesic Active Contour Algorithms
* Segmentation of liver tumor via nonlocal active contours
* Segmentation of Locally Varying Numbers of Outer Retinal Layers by a Model Selection Approach
* Segmentation of longitudinal brain MR images using bias correction embedded fuzzy c-means with non-locally spatio-temporal regularization
* Segmentation of Low-Quality Typewritten Digits
* Segmentation of lung airways based on deep learning methods
* Segmentation of Lung Tumor in Cone Beam CT Images Based on Level-Sets
* Segmentation of Lungs with Interstitial Lung Disease in CT Scans: A TV-L 1 Based Texture Analysis Approach
* Segmentation of Macular Fluorescein Angiographies. A Statistical Approach
* Segmentation of Magnetic-Resonance Brain Images Using Analog Constraint Satisfaction Neural Networks
* Segmentation of magnetic resonance brain image: Integrating region growing and edge detection
* Segmentation of Magnetic Resonance Images Using Fuzzy Markov Random Fields
* Segmentation of magnetic resonance images using mean field annealing
* Segmentation of Main Weld Seam Area Based on MGLNS-Retinex Image Enhancement Algorithm
* Segmentation of Malaria Parasites in Peripheral Blood Smear Images
* Segmentation of Marine SAR Images by Sublook Analysis and Application to Sea Traffic Monitoring
* Segmentation of medical images for the extraction of brain tumors: A comparative study between the Hidden Markov and Deep Learning approaches
* Segmentation of medical images using geo-theoretic distance matrix in fuzzy clustering
* Segmentation of Medical Images using LEGION
* Segmentation of Medical Images Using Three-Dimensional Active Shape Models
* Segmentation of Medical Images with Regional Inhomogeneities
* Segmentation of Medical Images
* Segmentation of Medical Ultrasound Images using Active Contours
* Segmentation of Merged Characters by Neural Networks and Shortest Path
* Segmentation of Mesoscale Ocean Surface Dynamics Using Satellite SST and SSH Observations
* Segmentation of Microarray Images by Mathematical Morphology
* Segmentation of microscope cell images via adaptive eigenfilters
* Segmentation of Microscopic Image of Colorants Using U-net Based Deep Convolutional Networks for Material Appearance Design
* Segmentation of molecular surfaces based on their convex hull
* Segmentation of monochrome and color textures using moving average modeling approach
* Segmentation of motion objects from surveillance video sequences using partial correlation
* Segmentation of Motion Objects from Surveillance Video Sequences Using Temporal Differencing Combined with Multiple Correlation
* Segmentation of Moving Cells in Bright Field and Epi-Fluorescent Microscopic Image Sequences
* Segmentation of Moving Objects by Long Term Video Analysis
* Segmentation of Moving Objects by Robust Motion Parameter Estimation over Multiple Frames
* Segmentation of Moving Observer Frame Sequences
* Segmentation of MR-Images With Intensity Inhomogeneities
* Segmentation of MR Brain Images Through Hidden Markov Random Field and Hybrid Metaheuristic Algorithm
* Segmentation of MR images using neural nets
* Segmentation of Multi-Band Images Using Watershed Arcs
* Segmentation of multi-modality MR images by means of evidence theory for 3d reconstruction of brain tumors
* Segmentation of multi-spectral images using a combined classifier approach
* Segmentation of multi-spectral images using the combined classifier approach
* Segmentation of Multi-temporal UV-Induced Fluorescence Images of Historical Violins
* Segmentation of Multibeam Acoustic Imagery in the Exploration of the Deep Sea-Bottom
* Segmentation of Multidimensional Images
* Segmentation of Multimodal Images Based on Hierarchies of Partitions
* Segmentation of Multimodal MRI of Hippocampus Using 3D Grey-Level Morphology Combined with Artificial Neural Networks
* Segmentation of Multiple Motions by Edge Tracking between Two Frames
* Segmentation of multiple salient closed contours from real images
* Segmentation of multiple sclerosis lesions from mr brain images using the principles of fuzzy-connectedness and artificial neuron networks
* Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI
* Segmentation of Multiple Structures in Chest Radiographs Using Multi-task Fully Convolutional Networks
* Segmentation of multiple, partially occluded objects by grouping, merging, assigning part detection responses
* Segmentation of multispectral images of works of art through principal component analysis
* Segmentation of multispectral remote sensing images using active support vector machines
* Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
* Segmentation of Muscle Fibre Images Using Voronoi Diagrams and Active Contour Models
* Segmentation of Muscle Fibres in Fluorescence Microscopy Images
* Segmentation of Music Primitives
* Segmentation of Myocardial Regions in Echocardiography Using the Statistics of the Radio-Frequency Signal
* Segmentation of myocardium using velocity field constrained front propagation
* Segmentation of Nanocolumnar Crystals from Microscopic Images
* Segmentation of natural images based on multiresolution pyramids linking of the parameters of an autoregressive rotation invariant model. Application to leather defects detection
* Segmentation of natural images based on super pixel and graph merging
* Segmentation of Natural Images by Texture and Boundary Compression
* Segmentation of Natural Images for CBIR
* Segmentation of natural images using anisotropic diffusion and linking of boundary edges
* Segmentation of Natural Images Using Self-Organising Feature Maps
* Segmentation of Natural Scenes
* Segmentation of nautical chart components using mathematical morphology
* Segmentation of Neighboring Structures by Modeling Their Interaction
* Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model
* Segmentation of neural stem cells/neurospheres in high content brightfield microscopy images using localized level sets
* Segmentation of neural stem cells/neurospheres in unevenly illuminated brightfield images with shading reduction
* Segmentation of Neural Stem/Progenitor Cells Nuclei within 3-D Neurospheres
* Segmentation of Neurons Using Mathematical Morphology
* Segmentation of noisy colour images using cauchy distribution in the complex wavelet domain
* Segmentation of Noisy Discrete Surfaces
* Segmentation of noisy images using information theory based approaches
* Segmentation of non-rigid object in a non-parametric MAP framework
* Segmentation of non-rigid video objects using long term temporal consistency
* Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map
* Segmentation of object regions using depth information
* Segmentation of object surfaces using the Haar wavelet at multiple resolutions
* Segmentation of objects in a detection window by Nonparametric Inhomogeneous CRFs
* Segmentation of Objects in Temporal Images Using the Hidden Markov Model
* Segmentation of occluded sidewalks in satellite images
* Segmentation of oct skin images by classification of speckle statistical parameters
* Segmentation of off-line cursive handwriting using linear programming
* Segmentation of On-Line Freely Written Japanese Text Using SVM for Improving Text Recognition
* Segmentation of on-line handwritten Japanese text of arbitrary line direction by a neural network for improving text recognition
* Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition
* Segmentation of Optical Flow and 3D Data for the Interpretation of Mobile Objects
* Segmentation of Optical Flow Fields by Pyramid Linking
* Segmentation of osteosarcoma in MRI images by K-means clustering, Chan-Vese segmentation, and iterative Gaussian filtering
* Segmentation of osteosarcoma tumor using diffusion weighted MRI: A comparative study using nine segmentation algorithms
* Segmentation of overlapping cells in cervical smears based on spatial relationship and Overlapping Translucency Light Transmission Model
* Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement
* Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Adaptive Shape Priors Extracted From Contour Fragments
* Segmentation of Overlapping Elliptical Objects in Silhouette Images
* Segmentation of overlapping/aggregating nuclei cells in biological images
* Segmentation of page images having artifacts of photocopying and scanning
* Segmentation of Page Images Using the Area Voronoi Diagram
* Segmentation of Parasites for High-content Screening Using Phase Congruency and Grayscale Morphology
* Segmentation of Parchment Scrolls for Virtual Unrolling
* Segmentation of Partially Overlapping Convex Objects Using Branch and Bound Algorithm
* Segmentation of Partially Overlapping Nanoparticles Using Concave Points
* Segmentation of pathological lungs from CT chest images
* Segmentation of Pathological Structures by Landmark-Assisted Deformable Models
* Segmentation of People in Motion
* Segmentation of Pericardial Adipose Tissue in CMR Images: A Benchmark Dataset MRPEAT and a Triple-Stage Network 3SUnet
* Segmentation of periodically moving objects
* Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image
* Segmentation of Perspective Textured Planes through the Ridges of Continuous Wavelet Transform
* Segmentation of Phase-contrast MR Images for Aortic Pulse Wave Velocity Measurements
* Segmentation of Pictures and Maps Through Functional Approximation
* Segmentation of Pictures into Regions with a Tile-by-Tile Method
* Segmentation of Pigment Signs in Fundus Images for Retinitis Pigmentosa Analysis by Using Deep Learning
* Segmentation of Planar Curves into Circular Arcs and Line Segments
* Segmentation of planar curves using local and global behaviour analysis
* Segmentation of Planar Objects and Their Shadows in Motion Sequences
* Segmentation of planar surfaces in LiDAR point clouds of an electrical substation by exploring the structure of points neighbourhood
* Segmentation of Plane Curves
* Segmentation of plant cell pictures
* Segmentation of Plants and Weeds for a Precision Crop Protection Robot Using Infrared Images
* Segmentation of PMSE Data Using Random Forests
* Segmentation of point clouds using smoothness constraint
* Segmentation of Point Clouds with K-means and ANN (Artifical Neural Network), The
* Segmentation of Polarimetric Synthetic Aperture Radar Data
* Segmentation of postal envelopes for address block location: an approach based on feature selection in wavelet space
* Segmentation of Printed Circuit Board Images into Basic Patterns
* Segmentation of prostate boundaries from ultrasound images using statistical shape model
* Segmentation of Prostate Boundaries Using Regional Contrast Enhancement
* Segmentation of Prostate in Diffusion MR Images via Clustering
* Segmentation of Prostate Using Interactive Finsler Active Contours and Shape Prior
* Segmentation of Psoriasis Vulgaris Images Using Multiresolution-Based Orthogonal Subspace Techniques
* Segmentation of Pulmonary Nodules in Thoracic CT Scans: A Region Growing Approach
* Segmentation of radar imagery using the Gaussian Markov random field model
* Segmentation of Random-Fields via Borrowed Strength Density-Estimation
* Segmentation of range and intensity images using multiscale Markov random field representations
* Segmentation of range data based on a stochastic clustering method with competitive process
* Segmentation of Range Data for the Automatic Construction of Models of Articulated Objects
* Segmentation of Range Data into Planar and Quadratic Patches
* Segmentation of Range Data into Rigid Subsets using Planar Surface Patches
* Segmentation of Range Data into Rigid Subsets Using Surface Patches
* Segmentation of Range Images as the Search for Geometric Parametric Models
* Segmentation of Range Images into Planar Regions
* Segmentation of Range Images into Planar Surfaces by Split and Merge
* Segmentation of Range Images Through the Integration of Different Strategies
* Segmentation of Range Images Via Data Fusion and Morphological Watersheds
* Segmentation Of Range Images
* Segmentation of Range Images: An Orthogonal Moment-Based Integrated Approach
* Segmentation of Rat Cardiac Ultrasound Images with Large Dropout Regions
* Segmentation of Rectangular Objects Lying on an Unknown Background in a Small Preview Scan Image
* Segmentation of regions in jpeg compressed medical images
* Segmentation of remote-sensing images by incremental neural network
* Segmentation of remote-sensing images by supervised TS-MRF
* Segmentation of remotely sensed images using wavelet features and their evaluation in soft computing framework
* Segmentation of remotely sensed images with fuzzy thresholding, and quantitative evaluation
* Segmentation of Retinal Arterial Bifurcations in 2D Adaptive Optics Ophthalmoscopy Images
* Segmentation of Retinal Arteries in Adaptive Optics Images
* Segmentation of Retinal Blood Vessels based on the Second Directional Derivative and Region Growing
* Segmentation of Retinal Blood Vessels Based on Ultimate Elongation Opening
* Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction
* Segmentation of retinal blood vessels using the radial projection and semi-supervised approach
* Segmentation of retinal vessels in adaptive optics images for assessment of vasculitis
* Segmentation of Retinal Vessels Using Nonlinear Projections
* Segmentation of RGB-D indoor scenes by stacking random forests and conditional random fields
* Segmentation of rice disease spots based on improved BPNN
* Segmentation of Right Ventricle in Cardiac MR Images Using Shape Regression
* Segmentation of Rigid Motion from Non-rigid 2D Trajectories
* Segmentation of road scenes using color and fractal-based texture classification
* Segmentation of Rodent Whole-Body Dynamic PET Images: An Unsupervised Method Based on Voxel Dynamics
* Segmentation of Rough Surfaces using Reflectance
* Segmentation of Rumex obtusifolius using Gaussian Markov random fields
* Segmentation of Saimaa Ringed Seals for Identification Purposes
* Segmentation of Salient Closed Contours from Real Images
* Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
* Segmentation of Sandplain Lupin Weeds from Morphologically Similar Narrow-Leafed Lupins in the Field
* Segmentation of SAR Images Using a Local Similarity Rule
* Segmentation of SAR images
* Segmentation of Satellite Imagery of Natural Scenes Using Data Mining
* Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification
* Segmentation of Scanned Insect Footprints Using ART2 for Threshold Selection
* Segmentation of Scanned Mesh into Analytic Surfaces Based on Robust Curvature Estimation and Region Growing
* Segmentation of Shadowed Buildings in Dense Urban Areas from Aerial Photographs
* Segmentation of shapes
* Segmentation of Short Association Bundles in Massive Tractography Datasets Using a Multi-subject Bundle Atlas
* Segmentation of Similar Images Using Graph Matching and Community Detection
* Segmentation of Single- or Multiple-Touching Handwritten Numeral String Using Background and Foreground Analysis
* Segmentation of Single Gray Level Pictures of General 3D Scenes
* Segmentation of Single Standing Dead Trees In High-resolution Aerial Imagery with Generative Adversarial Network-based Shape Priors
* Segmentation of Sinus Images for Grading of Severity of Sinusitis
* Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration
* Segmentation of Skin Lesions in 2-D and 3-D Ultrasound Images Using a Spatially Coherent Generalized Rayleigh Mixture Model
* Segmentation of Skin Lesions Using Level Set Method
* Segmentation of Skin Spectral Images Using Simulated Illuminations
* Segmentation of Skull Base Tumors from MRI Using a Hybrid Support Vector Machine-Based Method
* Segmentation of Sloped Roofs from Airborne LiDAR Point Clouds Using Ridge-Based Hierarchical Decomposition
* Segmentation of Soft Shadows Based on a Daylight- and Penumbra Model
* Segmentation of Soil Section Images Using Connected Operators
* Segmentation of Solid Objects Using Global and Local Edge Coincidence
* Segmentation of sows in farrowing pens
* Segmentation of sparse noisy point clouds using active contour models
* Segmentation of spatially variant image textures
* Segmentation of sputum color image for lung cancer diagnosis based on neural networks
* Segmentation of sputum color image for lung cancer diagnosis
* Segmentation of Static and Dynamic Scenes
* Segmentation of stick text based on sub connected area analysis
* Segmentation of Stochastic Images using Level Set Propagation with Uncertain Speed
* Segmentation of Stochastic Images With a Stochastic Random Walker Method
* Segmentation of Substantia Nigra Using Weighted Thresholding Method
* Segmentation of Sugar Beets Using Image and Graph Processing
* Segmentation of Surface Curvature Using a Photometric Invariant
* Segmentation of Surface Curvature with a Photometric Invariant
* Segmentation of Synthetic Aperture Radar Complex Data
* Segmentation of T1-MRI of the Human Cortex Using a 3D Grey-level Morphology Approach
* Segmentation of Temporal Effects on Phasimetric SAR Images
* Segmentation of ten fetal heart components with coarse-to-fine cascading and dynamic feature powering
* Segmentation of Terrestrial Laser Scanning Data by Integrating Range and Image Content
* Segmentation of terrestrial laser scanning data using geometry and image information
* Segmentation of Text and Graphics from Document Images
* Segmentation of text and graphics
* Segmentation of Text From Color Map Images
* Segmentation of text, picture and lines of a document image
* Segmentation of text/image documents using texture approaches
* Segmentation of textured cell images based on frequency analysis
* Segmentation of Textured Dynamic Scenes
* Segmentation of Textured Images and Gestalt Organization Using Spatial/Spatial-Frequency Representations
* Segmentation of textured images based on fractals and image filtering
* Segmentation of Textured Images Using a Multiresolution Gaussian Autoregressive Model
* Segmentation of Textured Images Using Gibbs Random Fields
* Segmentation of Textured Images
* Segmentation of Textured Satellite and Aerial Images by Bayesian Inference
* Segmentation of Textured Scenes Using Motion Information
* Segmentation of the body and lungs from Compton scatter and photopeak window data in SPECT: a Monte-Carlo investigation
* Segmentation of the Brain in MRI Using Grey Level Morphology and Propagation of Information
* Segmentation of the Breast Region in Mammograms Using a Rule-Based Fuzzy Reasoning Algorithm
* Segmentation of the breast region in mammograms using snakes
* Segmentation of the carotid intima-media region in B-mode ultrasound images
* Segmentation of the Color Milk Somatic Cells Images, The
* Segmentation of the Comet Assay Images
* Segmentation of the Date in Entries of Historical Church Registers
* Segmentation of the Face and Hands in Sign Language Video Sequences Using Color and Motion Cues
* Segmentation of the Finger Bones as a Prerequisite for the Determination of Bone-Age
* Segmentation of the Hippocampus for Detection of Alzheimer's Disease
* Segmentation of the Human Trachea Using Deformable Statistical Models of Tubular Shapes
* Segmentation of the Left Venctricle from MR Images via Snake Models Incorporating Shape Similarities
* Segmentation of the Left Ventricle from Cardiac MR Images Based on Degenerated Minimal Surface Diffusion and Shape Priors
* Segmentation of the Left Ventricle From Cardiac MR Images Using a Subject-Specific Dynamical Model
* Segmentation of the left ventricle in cardiac cine MRI using a shape-constrained snake model
* Segmentation of the Left Ventricle in Cardiac MR Images
* Segmentation of the Left Ventricle in Echocardiography Using Contextual Shape Model
* Segmentation of the Left Ventricle in Myocardial Perfusion SPECT Using Active Shape Model
* Segmentation of the left ventricle in short-axis sequences by combining deformation flow and optical flow
* Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods, The
* Segmentation of the Left Ventricle of the Heart in 3-D+t MRI Data Using an Optimized Nonrigid Temporal Model
* Segmentation of the lumen and media-adventitial borders in intravascular ultrasound images using a geometric deformable model
* Segmentation of the Midbrain in Transcranial Sonographies using a Two-Component Deformable Mode
* Segmentation of the Needle Map of Objects with Curved Surfaces
* Segmentation of the Optic Disc in 3-D OCT Scans of the Optic Nerve Head
* Segmentation of the Optic Disc, Macula and Vascular Arch in Fundus Photographs
* Segmentation of the Outer Vessel Wall of the Common Carotid Artery in CTA
* Segmentation of the Posterior Ribs in Chest Radiographs Using Iterated Contextual Pixel Classification
* Segmentation of the Prostate Gland in Images Using Prior Knowledge and Level Set Method
* Segmentation of the pulmonary nodule and the attached vessels in the CT scan of the chest using morphological features and topological skeleton of the nodule
* Segmentation of the Rectus Abdominis Muscle Anterior Fascia for the Analysis of Deep Inferior Epigastric Perforators
* Segmentation of the Retinal Reflex in Brückner Test Images Using U-Net Convolutional Network
* Segmentation of the right ventricle in MRI images using a dual active shape model
* Segmentation of the Skull Using Deformable Model and Taking Partial Volume Effect into Account
* Segmentation of the Supraorbital Vessels in Thermal Imagery, The
* Segmentation of the True Lumen of Aorta Dissection via Morphology-Constrained Stepwise Deep Mesh Regression
* Segmentation of the Yellow Pages
* Segmentation of Thin Structures in Volumetric Medical Images
* Segmentation of Thinned Binary Scenes with Good Connectivity Algorithms
* Segmentation of three-dimensional objects from background in digital holograms
* Segmentation of Three-Dimensional Surfaces
* Segmentation of Three Dimensional Cell Culture Models from a Single Focal Plane
* Segmentation of Thrombus in Abdominal Aortic Aneurysms From CTA With Nonparametric Statistical Grey Level Appearance Modeling
* Segmentation of Time-Lapse Images with Focus on Microscopic Images of Cells
* Segmentation of tiny objects in very poor-quality angiogenesis images
* Segmentation of tissue boundary evolution from brain MR image sequences using multi-phase level sets
* Segmentation of tissues in MR images using Modified Spatial Fuzzy C Means algorithm
* Segmentation of touching and fused Devanagari characters
* Segmentation of Touching Cell Nuclei Using a Two-Stage Graph Cut Model
* Segmentation of touching characters in printed Devnagari and Bangla scripts using fuzzy multifactorial analysis
* Segmentation Of Touching Characters In Printed Document Recognition
* Segmentation of Touching Characters Using an MLP
* Segmentation of touching symbols for OCR of printed mathematical expressions: an approach based on multifactorial analysis
* Segmentation of Trabecular Bone for In Vivo CT Imaging Using a Novel Approach of Computing Spatial Variation in Bone and Marrow Intensities
* Segmentation of trabecular bones from Vertebral bodies in volumetric CT spine images
* Segmentation of trabeculated structures using an anisotropic Markov random field: application to the study of the optic nerve head in glaucoma
* Segmentation of Tracking Sequences Using Dynamically Updated Adaptive Learning
* Segmentation of Tree Regions Using Data of a Full-Waveform Laser
* Segmentation of Triangular Meshes Using Multi-scale Normal Variation
* Segmentation of tumor using PCA based modified fuzzy C means algorithms on MR brain images
* Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble learning
* Segmentation of Two-Dimensional Boundaries Using the Chain Code
* Segmentation of two-dimensional curve contours
* Segmentation of Two-Phase Flow: A Free Representation for Levet Set Method with a Priori Knowledge
* Segmentation of UAV-Based Images Incorporating 3D Point Cloud Information
* Segmentation of Ultrasonic Images of the Carotid
* Segmentation of ultrasonic images using Support Vector Machines
* Segmentation of ultrasound B-mode images with intensity inhomogeneity correction
* Segmentation of Ultrasound Breast Images: Optimization of Algorithm Parameters
* Segmentation of ultrasound image data by two dimensional autoregressive modelling
* Segmentation of ultrasound images by using a hybrid neural network
* Segmentation of ultrasound images: Multiresolution 2D and 3D algorithm based on global and local statistics
* Segmentation of Unideal Iris Images Using Game Theory
* Segmentation of Uniform Colored Text from Color Graphics Background
* Segmentation of Urban Impervious Surface Using Cellular Neural Networks
* Segmentation of Urban Scenes from Aerial Stereo Imagery
* Segmentation of urban traffic scene based on 3D structure
* Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images
* Segmentation of Vector Fields by Critical Point Analysis: Application to Brain Deformation
* Segmentation of Vector Images by N-level-set-fitting
* Segmentation of Vectorial Image Features Using Shape Gradients and Information Measures
* Segmentation of Vegetation and Flood from Aerial Images Based on Decision Fusion of Neural Networks
* Segmentation of vehicle detector data for improved k-nearest neighbours-based traffic flow prediction
* Segmentation of Vehicles and Roads by a Low-Channel Lidar
* Segmentation of Very High Resolution Remote Sensing Imagery of Urban Areas Using Particle Swarm Optimization Algorithm
* Segmentation of Very Low Resolution Screen-Rendered Text
* Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation
* Segmentation of Vessels Using Weighted Local Variances and an Active contour Model
* Segmentation of video background regions based on a DTCNN-clustering approach
* Segmentation of Video by Clustering and Graph Analysis
* Segmentation of Video Sequences using Spatial-temporal Conditional Random Fields
* Segmentation of Visual Motion by Minimizing Convex Non-Quadratic Functionals
* Segmentation of Volume Images Using a Multiscale Transform
* Segmentation of Volumetric Histo-Pathological Images by Surface Following Using Constrained Snakes
* Segmentation of Wheat Grains in Thermal Images Based on Pulse Coupled Neural Networks
* Segmentation of Whole Cells and Cell Nuclei From 3-D Optical Microscope Images Using Dynamic Programming
* Segmentation of Wood Fibres in 3D CT Images Using Graph Cuts
* Segmentation of X-ray and C-scan images of fiber reinforced composite materials
* Segmentation of X-ray CT images using stochastic templates
* Segmentation of X-ray Images by 3D-2D Registration Based on Multibody Physics
* Segmentation on Sentinel-3 Data for Surface Heat Island Detection
* Segmentation on statistical manifold with watershed transform
* Segmentation on surfaces with the Closest Point Method
* Segmentation over Detection by Coupled Global and Local Sparse Representations
* Segmentation Over Detection via Optimal Sparse Reconstructions
* Segmentation par modele deformable des regions osseuses de la tete dans les volume IRM
* segmentation procedure of LiDAR data by applying mixed parametric and nonparametric models, A
* Segmentation Processes in the VISIONS System
* segmentation processing method for effectively solving the problem of partial covering of angiography images., A
* Segmentation Propagation in ImageNet
* Segmentation quality evaluation based on multi-scale convolutional neural networks
* Segmentation Quality Evaluation for Large Scale Mapping Purposes in Flanders, Belgium
* Segmentation quality evaluation using region-based precision and recall measures for remote sensing images
* Segmentation Quality Measure Based on Rich Descriptors and Classification Methods, A
* Segmentation robust to the vignette effect for machine vision systems
* Segmentation Scheme for Head-Shoulder in MPEG Compressed Domain, A
* Segmentation Scheme for Knowledge Discovery in Human Activity Spotting, A
* Segmentation skin cancer images
* Segmentation strategies for the alpha-tree data structure
* Segmentation Strategy of Handwritten Connected Digits (SSHCD)
* Segmentation system and its evaluation for gray scale coin documents
* segmentation system based on clustering method for pediatric DTI images, A
* Segmentation System Based on Thresholding, A
* segmentation system for touching handwritten Japanese characters, A
* segmentation technique for cerebral NMR images, A
* Segmentation Technique for Flexible Pipes in Deep Underwater Environments, A
* Segmentation Technique Through Waveform Analysis, A
* Segmentation techniques for early cancer detection in red blood cells with deep learning-based classifier'a comparative approach
* Segmentation Through Symbolic Surface Descriptions
* Segmentation Through the Detection of Change Due to Motion
* Segmentation Through Variable-Order Surface Fitting
* Segmentation Tools in Mathematical Morphology
* Segmentation Under Occlusions Using Selective Shape Prior
* Segmentation using Appearance of Mesostructure Roughness
* Segmentation Using Contrast and Homogeneity Measures
* Segmentation Using Convergent Evidence
* Segmentation Using Deformable Models with Affinity-Based Localization
* Segmentation using Deformable Spatial Priors with Application to Clothing
* Segmentation using Eigenvectors: A Unifying View
* Segmentation using fuzzy cluster-based thresholding method for apple fruit sorting
* Segmentation using fuzzy divergence
* Segmentation using Meta-texture Saliency
* Segmentation using multiscale cues
* Segmentation Using Saturation Thresholding and Its Application in Content-Based Retrieval of Images
* Segmentation Using Scene Models
* Segmentation using spatial-feature clustering from image sequences
* Segmentation Using SubMarkov Random Walk
* Segmentation using superpixels: A bipartite graph partitioning approach
* Segmentation using the edge strength function as a shape prior within a local deformation model
* Segmentation Versus Object Representation: Are They Separable?
* Segmentation via Graph-Spectral Methods and Riemannian Geometry
* Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach
* Segmentation with Active Contours
* Segmentation with Depth but Without Detecting Junctions
* Segmentation with Incremental Classifiers
* Segmentation with Invisible Keying Signal
* Segmentation with Non-linear Regional Constraints via Line-Search Cuts
* Segmentation with Pairwise Attraction and Repulsion
* Segmentation with saliency map using colour and depth images
* Segmentation
* Segmentation, Classification and Denoising of a Time Series Field by a Variational Method
* Segmentation, Evaluation, and Natural Scenes
* Segmentation, Features, Models from Magnetic Resonance Data, MRI
* Segmentation, Graph Cuts
* Segmentation, Grouping and Feature Detection for Face Image Analysis
* Segmentation, Inference and Classification of Partially Overlapping Nanoparticles
* Segmentation, Matching and Estimation of Structure and Motion of Textured Piecewise Planar Surfaces
* Segmentation, Ordering and Multi-object Tracking Using Graphical Models
* Segmentation, registration, and measurement of shape variation via image object shape
* Segmentation, Survey and General Topics
* Segmentation, Tracking and Characterization of Solar Features from EIT Solar Corona Images
* Segmentation, Tracking and Interpretation using Panoramic Video
* Segmentation, Tracking, 3D Modelling and Matching of the Inner Ear Based on MRI Data
* Segmentation, tracking, and analysis of focal adhesion dynamics in cellular microscopy imaging
* Segmentation/reconstruction of range images based on piecewise-linear approximation
* Segmentations-leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
* Segmentations of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model
* Segmented-Region Based Approach Using Object Components Database to Detect Sky Region
* Segmented AAMs Improve Person-Indepedent Face Fitting
* Segmented Adaptive DPCM for Lossy Compression of Multispectral MR-Images
* segmented and annotated IAPR TC-12 benchmark, The
* Segmented and directional impact detection for parked vehicles using mobile devices
* Segmented Description of 3-D Surfaces
* Segmented face approximation with adaptive region growing based on low-degree polynomial fitting
* Segmented Gray-Code Kernels for Fast Pattern Matching
* Segmented handwritten text recognition with recurrent neural network classifiers
* Segmented image coding with contour simplification for video sequences
* Segmented image coding: Techniques and experimental results
* Segmented image interpolation using edge direction and texture synthesis
* Segmented Linear Subspaces for Illumination-Robust Face Recognition
* Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine, A
* Segmented minimum noise fraction transformation for efficient feature extraction of hyperspectral images
* Segmented Phase Code Waveforms: A Novel Radar Waveform for Spaceborne MIMO-SAR
* Segmented Processing Approach of Eigenvector Spatial Filtering Regression for Normalized Difference Vegetation Index in Central China, A
* Segmented rapid magnetic resonance imaging using structured sparse representations
* Segmented Reconstruction for Compressed Sensing SAR Imaging
* Segmented Shape Description from 3-View Stereo
* Segmented snake for contour detection
* Segmented trajectory based indexing and retrieval of video data
* SegmentedFusion: 3D Human Body Reconstruction Using Stitched Bounding Boxes
* Segmenter: Transformer for Semantic Segmentation
* Segmenting 3-d Surfaces using Multicolored Illumination
* Segmenting 3D objects into geons
* Segmenting a low-depth-of-field image using morphological filters and region merging
* Segmenting a Noisy Low-Depth-of-Field Image Using Adaptive Second-Order Statistics
* Segmenting a page of a document into areas which are text and areas which are halftone
* Segmenting across places: The need for fair transfer learning with satellite imagery
* Segmenting actions in velocity curve space
* Segmenting and Detecting Nematode in Coffee Crops Using Aerial Images
* Segmenting and Representing Background in Color Images
* Segmenting and Tracking Fluorescent Cells in Dynamic 3-D Microscopy With Coupled Active Surfaces
* Segmenting animated objects into near-rigid components
* Segmenting Articular Cartilage Automatically Using a Voxel Classification Approach
* Segmenting at Higher Scales to Classify at Lower Scales: A Mathematical Morphology Based Methodology Applied to Forest Cover Remote Sensing Images
* Segmenting Beyond the Bounding Box for Instance Segmentation
* Segmenting Biological Particles in Multispectral Microscopy Images
* Segmenting Blobs into Subregions
* Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
* Segmenting by Compression using Linear Scale-Space and Watersheds
* Segmenting by Seeking the Symmetry Axis
* Segmenting Cardiopulmonary Images Using Manifold Learning with Level Sets
* Segmenting Cellular Retinal Images by Optimizing Super-Pixels, Multi-Level Modularity, and Cell Boundary Representation
* Segmenting cervical epithelial nuclei from confocal images using gaussian markov random fields
* Segmenting Characters from License Plate Images with Little Prior Knowledge
* Segmenting color images into surface patches by exploiting sparse depth data
* Segmenting correlation stereo range images using surface elements
* Segmenting Cortical Gray Matter for Functional MRI Visualization
* Segmenting Curves into Elliptic Arcs and Straight Lines
* Segmenting document images using diagonal white runs and vertical edges
* Segmenting Dot Patterns by Voronoi Diagram Concavity
* Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets
* Segmenting extended structures in radio astronomical images by filtering bright compact sources and using wavelets decomposition
* Segmenting Fiber Bundles in Diffusion Tensor Images
* Segmenting Film Sequences Using Active Surfaces
* Segmenting focused objects based on the Amplitude Decomposition Model
* Segmenting focused objects in complex visual images
* Segmenting foreground objects from a dynamic textured background via a robust Kalman filter
* Segmenting Glandular Biopsy Images Using the Separate Merged Objects Algorithm
* Segmenting Hands of Arbitrary Color
* Segmenting Handwritten Chinese Characters Based on Heuristic Merging of Stroke Bounding Boxes and Dynamic Programming
* Segmenting Handwritten Math Symbols Using AdaBoost and Multi-scale Shape Context Features
* Segmenting Handwritten Signatures at Their Perceptually Important Points
* Segmenting Hepatic Lesions Using Residual Attention U-Net with an Adaptive Weighted Dice Loss
* Segmenting Highly Articulated Video Objects with Weak-Prior Random Forests
* Segmenting Highly Textured Nonstationary Background
* Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models
* Segmenting Human Body Data
* Segmenting Human From Photo Images Based on a Coarse-to-Fine Scheme
* Segmenting human knee cartilage automatically from multi-contrast MR images using support vector machines and discriminative random fields
* Segmenting image data into blocks and deleting some prior to compression
* Segmenting Images Corrupted By Correlated Noise
* Segmenting Images on the Tensor Manifold
* Segmenting Images Using Localized Histograms and Region Merging
* Segmenting Images Using Normalized Color
* Segmenting images with gradient-based edge detection using Membrane Computing
* Segmenting Images with Support Vector Machines
* Segmenting internal structures in 3D MR images of the brain by Markovian relaxation on a watershed based adjacency graph
* Segmenting iris images in the visible spectrum with applications in mobile biometrics
* Segmenting Kidney on Multiple Phase CT Images using ULBNet
* Segmenting lumbar vertebrae in digital video fluoroscopic images through edge enhancement
* Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics
* Segmenting lung parenchyma from CT images with gray correlation-based clustering
* Segmenting Merged Characters
* Segmenting Messy Text: Detecting Boundaries in Text Derived from Historical Newspaper Images
* Segmenting Microarray Image Spots using an Active Contour Approach
* Segmenting Microorganisms in Multi-modal Volumetric Datasets Using a Modified Watershed Transform
* Segmenting Modulated Line Textures with S-Gabor Filters
* Segmenting Motions of Different Types by Unsupervised Manifold Clustering
* Segmenting Moving Objects in MPEG Videos in the Presence of Camera Motion
* Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization
* Segmenting MR Images Using Fully-Tuned Radial Basis Functions (RBF)
* Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions
* Segmenting Multiple Familiar Objects Under Mutual Occlusion
* Segmenting Multiple Objects with Overlapping Appearance and Uncertainty
* Segmenting Multiple Sclerosis Lesions Using a Spatially Constrained K-Nearest Neighbour Approach
* Segmenting Multiple Textured Objects Using Geodesic Active Contour and DWT
* Segmenting multisensor aerial images in class-scale space
* Segmenting Multispectral Landsat TM Images into Field Units
* Segmenting natural images with the least effort as humans
* Segmenting Neuronal Growth Cones Using Deep Convolutional Neural Networks
* Segmenting neurons in electronic microscopy via geometric tracing
* Segmenting Non Stationary Images with Triplet Markov Fields
* Segmenting Objects From Relational Visual Data
* Segmenting Objects in Weakly Labeled Videos
* Segmenting people in small groups
* Segmenting point-sampled surfaces
* Segmenting Purple Rapeseed Leaves in the Field from UAV RGB Imagery Using Deep Learning as an Auxiliary Means for Nitrogen Stress Detection
* Segmenting Reddish Lesions in Capsule Endoscopy Images Using a Gastrointestinal Color Space
* Segmenting Retinal Blood Vessels With Deep Neural Networks
* Segmenting Root Systems in X-Ray Computed Tomography Images Using Level Sets
* Segmenting Salient Objects from Images and Videos
* Segmenting Shape Using Deformation Information
* Segmenting similar shapes via weighted group-similarity active contours
* Segmenting Simplified Surface Skeletons
* Segmenting Simply Connected Moving-Objects In A Static Scene
* Segmenting skin lesions with partial-differential-equations-based image processing algorithms
* Segmenting Sky Pixels in Images: Analysis and Comparison
* Segmenting Small Regions in the Presence of Noise
* Segmenting Surface Shape Using Colored Illumination
* Segmenting Tables via Indexing of Value Cells by Table Headers
* Segmenting Text Images with Massively Parallel Machines
* Segmenting Textured 3D Surfaces Using the Space/Frequency Representation
* Segmenting Textures Using Cells with Adaptive Receptive Fields
* Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning
* Segmenting the Etiological Agent of Schistosomiasis for High-Content Screening
* Segmenting the Subthalamic Nucleus Using Narrow Band Limited Variational Level Set Method
* Segmenting three-dimensional video images using stereo
* Segmenting Traffic Scenes from Grey Level and Motion Information
* Segmenting Transparent Objects in the Wild
* Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories
* Segmenting Unseen Industrial Components In A Heavy Clutter Using RGB-D Fusion And Synthetic Data
* Segmenting Unstructured 3D Points into Surfaces
* Segmenting Video Foreground Using a Multi-Class MRF
* Segmenting video input using high-level feedback
* Segmenting video into classes of algorithm-suitability
* Segmenting Visual Actions based on Spatio-Temporal Motion Patterns
* Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects
* Segmenting, removing and ranking partial blur
* Segments Matching: Comparison Between a Neural Approach and a Classical Optimization Way
* SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness
* SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
* SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
* Segregating animals in naturalistic surroundings: Interaction of color distributions and mechanisms
* Segregation of Form, Color, Movement, and Depth: Anatomy, Physiology, and Perception
* Segregation of meaningful strokes, a pre-requisite for self co-articulation removal in isolated dynamic gestures
* Segregation of Moving Objects Using Elastic Matching
* SegSort: Segmentation by Discriminative Sorting of Segments
* SegStereo: Exploiting Semantic Information for Disparity Estimation
* Segtad: Precise Temporal Action Detection via Semantic Segmentation
* SegTHOR: Segmentation of Thoracic Organs at Risk in CT images
* SegTrack: A novel tracking system with improved object segmentation
* SEGUE: A Speedy rEgion-Growing Algorithm for Unwrapping Estimated Phase
* SEIC: Semantic Embedding with Intermediate Classes for Zero-shot Domain Generalization
* Seismic-Based Feature Extraction Algorithm for Robust Ground Target Classification, A
* Seismic-Q Compensation by Iterative Time-Domain Deconvolution
* Seismic Ambient Noise Imaging of a Quasi-Amagmatic Ultra-Slow Spreading Ridge
* Seismic Analysis, Geological Analysis, Wells
* Seismic array response in the presence of a dipping shallow layer
* Seismic Capacity Evaluation Approach for Architectural Heritage Using Finite Element Analysis of Three-Dimensional Model: A Case Study of the Limestone Hall in the Ming Dynasty, A
* Seismic Coherency Measures in Case of Interfering Events: A Focus on the Most Promising Candidates of Higher-Resolution Algorithms
* Seismic Damage Assessment of Lifelines Based On Geospatial Analysis
* Seismic Damage Semantics on Post-Earthquake LOD3 Building Models Generated by UAS
* Seismic Dip Estimation With a Domain Knowledge Constrained Transfer Learning Approach
* Seismic Exploration Random Noise on Land: Modeling and Application to Noise Suppression
* Seismic facies pattem recognition based on 3D Gabor transform and two-step clustering analysis
* Seismic fault detection using marked point processes
* Seismic horizon and pseudo-geological time cube extraction based on a riemmanian geodesic search
* Seismic horizon reconstruction on polygonal domains using the Schwarz-Christoffel transformation
* Seismic Impact of Large Earthquakes on Estimating Global Mean Ocean Mass Change from GRACE
* Seismic Interferometry from Correlated Noise Sources
* Seismic Inversion, Seismic Data Processing
* Seismic Migration: A Digital Filtering Process Reducing Oil Exploration Risks
* Seismic Monitoring of the North Korea Nuclear Test Site Using a Multichannel Correlation Detector
* Seismic Noise Attenuation Using Unsupervised Sparse Feature Learning
* Seismic P-Phase Picking Using a Kurtosis-Based Criterion in the Stationary Wavelet Domain
* Seismic Phase Picking Using Convolutional Networks
* Seismic Random Noise Attenuation Using Synchrosqueezed Wavelet Transform and Low-Rank Signal Matrix Approximation
* Seismic Random Noise Suppression by Using Adaptive Fractal Conservation Law Method Based on Stationarity Testing
* Seismic Remote Sensing of Super Typhoon Lupit (2009) with Seismological Array Observation in NE China
* Seismic Risk Regularization for Urban Changes Due to Earthquakes: A Case of Study of the 2023 Turkey Earthquake Sequence
* Seismic Shift in Scalable Acquisition Demands New Processing: Fiber-Optic Seismic Signal Retrieval in Urban Areas with Unsupervised Learning for Coherent Noise Removal, A
* Seismic Signal Denoising and Decomposition Using Deep Neural Networks
* Seismic Signal Discrimination between Earthquakes and Quarry Blasts Using Fuzzy Logic Approach
* Seismic Signal Enhancement and Noise Suppression Using Structure-Adaptive Nonlinear Complex Diffusion
* Seismic Signal Matching and Complex Noise Suppression by Zernike Moments and Trilateral Weighted Sparse Coding
* Seismic Simultaneous Source Separation via Patchwise Sparse Representation
* Seismic Source Quantitative Parameters Retrieval From InSAR Data and Neural Networks
* Seismic Strain Map in Malaysia Derived From Long-term Global Positioning System Data
* Seismic Structural Curvature Volume Extraction With Convolutional Neural Networks
* Seismic Surface Deformation Risks in Industrial Hubs: A Case Study from Ulsan, Korea, Using DInSAR Time Series Analysis
* Seismic Time Section Analysis Using Machine Vision
* Seismic Tunnel Imaging and Detection
* Seismic Vulnerability Assessment in Ranau, Sabah, Using Two Different Models
* Seismic Wavelet Estimation Using Covariation Approach
* Seismic, Ionosphere Analysis for Earthquakes from Space
* Seismo-Deformation Anomalies Associated with the M6.1 Ludian Earthquake on August 3, 2014
* Seismo-Lineaments in Egypt: Analysis and Implications for Active Tectonic Structures and Earthquake Magnitudes
* Seismo-magnetic Field Anomalies Detection Using Swarm Satellites (Alpha, Bravo and Charlie)
* Seismogenic Source Model of the 2019, Mw 5.9, East-Azerbaijan Earthquake (NW Iran) through the Inversion of Sentinel-1 DInSAR Measurements
* Seismological Observations of Ocean Swells Induced by Typhoon Megi Using Dispersive Microseisms Recorded in Coastal Areas
* Seizing the Opportunity for Automation: How Traffic Density Determines Truck Drivers' Use of Cruise Control
* Seizing the Treasure: Transferring Knowledge in Invoice Analysis
* Seizure onset detection based on frequency domain metric of empirical mode decomposition
* Seizure prediction with cross-higher-order spectral analysis of EEG signals
* Sejong face database: A multi-modal disguise face database
* Sekeleton-Space: a Multiscale Shape Description Combining Region and Boundary Information
* Select eigenfaces for face recognition with one training sample per subject
* Select informative features for recognition
* Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds
* Select Trends in Image, Video, and Multidimensional Signal Processing
* Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
* Select, Supplement and Focus for RGB-D Saliency Detection
* Selected mapping and partial transmit sequence schemes to reduce PAPR in OFDM systems
* Selected papers from Iberian Conference on Pattern Recognition and Image Analysis
* Selected Papers from MultiMedia Modeling Conference 2009
* Selected papers from the ICDAR'01 conference
* Selected Papers on Digital Image Processing
* Selected pattern recognition projects in Europe
* Selected tree classifier combination based on both accuracy and error diversity
* Selecting 3d Curves On The Nasal Surface Using Adaboost for Person Authentication
* Selecting a Discriminant Subset of Co-occurrence Matrix Features for Texture-Based Image Retrieval
* Selecting a Discrimination Algorithm for Unexploded Ordnance Remediation
* Selecting Algorithms Without Meta-features
* Selecting algorithms, sensors, and linear bases for optimum spectral recovery of skylight
* Selecting an Iconic Pose From an Action Video
* Selecting an Optimized COTS Filter Set for Multispectral Plenoptic Sensing
* Selecting Anchor Points for 2D Skeletonization
* Selecting and Assessing Quantitative Early Ultrasound Texture Measures for Their Association With Cerebral Palsy
* Selecting and Commanding Individual Robots in a Multi-Robot System
* Selecting and constructing features using grammatical evolution
* Selecting Appropriate Difference Operators for Digital Images by Local Feature Detection
* Selecting Appropriate Features for Detecting Buildings and Building Parts
* Selecting Appropriate Spatial Scale for Mapping Plastic-Mulched Farmland with Satellite Remote Sensing Imagery
* Selecting attentive frames from visually coherent video chunks for surveillance video summarization
* Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited Labels
* Selecting canonical views for view-based 3-d object recognition
* Selecting Canopy Zones and Thresholding Approaches to Assess Grapevine Water Status by Using Aerial and Ground-Based Thermal Imaging
* Selecting Critical Patterns Based on Local Geometrical and Statistical Information
* Selecting discriminant eigenfaces for face recognition
* Selecting Effective and Discriminative Spatio-Temporal Interest Points for Recognizing Human Action
* Selecting feature subset for high dimensional data via the propositional FOIL rules
* Selecting Features and Objects for Mixed and Incomplete Data
* Selecting features for object detection using an Adaboost-compatible evaluation function
* Selecting features in microarray classification using ROC curves
* Selecting Features in On-Line Handwritten Whiteboard Note Recognition: SFS or SFFS?
* Selecting features of linear-chain conditional random fields via greedy stage-wise algorithms
* Selecting Features Using the SFS in Conjunction with Vector Quantization
* Selecting Features with SVM
* Selecting ghosts and queues from a car trackers output using a spatio-temporal query language
* Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss
* Selecting High Quality Frames for Super Resolution Reconstruction Using Perceptual Quality Metrics
* Selecting image pairs for SfM by introducing Jaccard similarity
* Selecting Influential Examples: Active Learning with Expected Model Output Changes
* Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring
* Selecting Informative Frames for Action Recognition with Partial Observations
* Selecting Interesting Image Regions to Automatically Create Cinemagraphs
* Selecting Local Region Descriptors with a Genetic Algorithm for Real-World Place Recognition
* Selecting models from videos for appearance-based face recognition
* Selecting most profitable instruction-set extensions using ant colony heuristic
* Selecting Neighbors in Random Field Models for Color Images
* Selecting Objects for ALVOT
* Selecting Objects With Freehand Sketches
* Selecting optimal bands for sub-pixel target detection in hyperspectral images based on implanting synthetic targets
* Selecting Optimal Combination of Data Channels for Semantic Segmentation in City Information Modelling (CIM)
* Selecting Optimal Completion to Partial Matrix via Self-Validation
* Selecting Optimal Orientations of Gabor Wavelet Filters for Facial Image Analysis
* Selecting Post-Processing Schemes for Accurate Detection of Small Objects in Low-Resolution Wide-Area Aerial Imagery
* Selecting Prices Determinants and Including Spatial Effects in Peer-to-Peer Accommodation
* Selecting Principal Components in a Two-Stage LDA Algorithm
* Selecting reference signatures for on-line signature verification
* Selecting relevant features for human motion recognition
* Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
* Selecting relevant visual features for speechreading
* Selecting Relevant Web Trained Concepts for Automated Event Retrieval
* Selecting representative and distinctive descriptors for efficient landmark recognition
* Selecting salient features for classification based on neural network committees
* Selecting Salient Features from Facial Components for Face Recognition
* Selecting Salient Frames for Spatiotemporal Video Modeling and Segmentation
* Selecting scenes for 2D and 3D subjective video quality tests
* Selecting stable keypoints and local descriptors for person identification using 3D face scans
* Selecting surface features for accurate multi-camera surface reconstruction
* Selecting telecommunications technologies for intelligent transport system services in Helsinki Municipality
* Selecting the Best Band Ratio to Estimate Chlorophyll-a Concentration in a Tropical Freshwater Lake Using Sentinel 2A Images from a Case Study of Lake Ba Be (Northern Vietnam)
* Selecting the best hyperplane in the framework of optimal pairwise linear classifiers
* Selecting the Neighbourhood Size, Shape, Weights and Model Order in Optical Flow Estimation
* Selecting the Number of Principal Components with SURE
* Selecting the Optimal Focus Measure for Autofocusing and Depth-from-Focus
* Selecting training points for one-class support vector machines
* Selecting Useful Knowledge from Previous Tasks for Future Learning in a Single Network
* Selecting User Generated Content for Use in Media Productions
* Selecting vantage objects for similarity indexing
* Selecting Vision Operators and Fixing Their Optimal Parameters Values Using Reinforcement Learning
* Selection-fusion approach for classification of datasets with missing values
* Selection algorithm for parameters to characterize uterine EHG signals for the detection of preterm labor
* Selection and context for action recognition
* Selection and Cross Similarity for Event-Image Deep Stereo
* Selection and Execution of Simple Actions via Visual Attention and Direct Parameter Specification
* Selection and Fusion of Color Models for Feature Detection
* Selection and Fusion of Color Models for Image Feature Detection
* Selection and Fusion of Similarity Measure Based Classifiers Using Support Vector Machines
* Selection and Use of Image Features for Segmentation of Boundary Images
* Selection based heuristics for the non-unique oligonucleotide probe selection problem in microarray design
* Selection Combining for Differential Amplify-and-Forward Relaying Over Rayleigh-Fading Channels
* Selection Criterion for the Optimal Resolution of Ground-Based Remote Sensing Cloud Images for Cloud Classification, A
* Selection for Gamut Mapping Colour Constancy
* Selection Method of Dendritic River Networks Based on Hybrid Coding for Topographic Map Generalization
* Selection Module for Large-Scale Face Recognition Systems, A
* Selection of a best metric and evaluation of bottom-up visual saliency models
* Selection of a Consensus Area Size for Multithreaded Wavefront-Based Alignment Procedure for Compressed Sequences of Protein Secondary Structures
* Selection of a Similarity Measure Combination for a Wide Range of Multimodal Image Registration Cases
* Selection of Alpha for Alpha Hull in R-2
* Selection of an index system for evaluating the application level of agricultural engineering technology
* Selection of an Optimal Polyhedral Surface Model Using the Minimum Description Length Principle
* selection of appropriate spectrally bright pseudo-invariant ground targets for use in empirical line calibration of SPOT satellite imagery, The
* Selection of Characteristic Frames in Video for Efficient Action Recognition
* Selection of Classifiers Based on the MDL Principle Using the VC Dimension
* Selection of classifiers for the construction of multiple classifier systems
* Selection of Concept Detectors for Video Search by Ontology-Enriched Semantic Spaces
* Selection of Critical Subsets for Signal, Image, and Scene Matching, The
* Selection of Distinguish Points for Class Distribution Preserving Transform for Biometric Template Protection
* Selection of diverse features with a diverse regularization
* Selection of DNA Markers
* Selection of Edge Detectors Using Local Image Structure, The
* Selection of Empirical Mode Decomposition Techniques for Extracting Breathing Rate From PPG
* Selection of Experiments for Understanding the Strengths of Time Series SAR Data Analysis for Finding the Drivers Causing Phenological Changes in Paphos Forest, Cyprus, A
* Selection of Features and Evaluation of Visual Measurements During Robotic Visual Servoing Tasks
* Selection of Features in Accord with Population Drift
* Selection of Gabor filters for improved texture feature extraction
* Selection of Generative Models in Classification
* Selection of image fusion quality measures: Objective, subjective, and metric assessment
* Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory
* Selection of Image Primitives for General-Purpose Visual Processing
* Selection of Informative Spectral Bands for PLS Models to Estimate Foliar Chlorophyll Content Using Hyperspectral Reflectance
* Selection of Lee Filter Window Size Based on Despeckling Efficiency Prediction for Sentinel SAR Images
* Selection of local features for visual search
* Selection of Local Optical Flow Models by Means of Residual Analysis
* Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization
* Selection of localised salient features from a single facial image
* Selection of Long-Term Reference Frames in Dual-Frame Video Coding Using Simulated Annealing
* Selection of Lunar South Pole Landing Site Based on Constructing and Analyzing Fuzzy Cognitive Maps
* Selection of Marr Prize and Honourable Mentions at ICCV'01
* Selection of Natural Scales in 2D Images Using Adaptive Gabor Filtering, The
* Selection of negative samples and two-stage combination of multiple features for action detection in thousands of videos
* Selection of Network Coding Nodes for Minimal Playback Delay in Streaming Overlays
* Selection of observations in magnetic resonance spectroscopic imaging
* Selection of Optimal Building Facade Texture Images From UAV-Based Multiple Oblique Image Flows
* Selection of Optimal Spectral Sensitivity Functions for Color Filter Arrays
* Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering
* Selection of optimized features and weights on face-iris fusion using distance images
* Selection of Photos for Album Building Applications
* Selection Of Reference Views for image-based representation
* Selection of regularization parameter in total variation image restoration
* Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery Tasks
* Selection of relevant features in a fuzzy genetic learning algorithm
* Selection of Relevant Filter Responses for Extraction of Latent Images from Protected Documents
* Selection of relevant information to improve Image Classification using Bag of Visual Words
* Selection of Relevant Nodes from Component-Trees in Linear Time
* Selection of Rich Model Steganalysis Features Based on Decision Rough Set alpha-Positive Region Reduction
* Selection of Robust and Relevant Features for 3-D Steganalysis
* Selection of robust features for the Cover Source Mismatch problem in 3D steganalysis
* Selection of scale-invariant parts for object class recognition
* Selection of Speaker Independent Feature for a Speaker Verification System
* Selection of statistical features based on mutual information for classification of human coding and non-coding DNA sequences
* Selection of Statistically Representative Subset from a Large Data Set
* Selection of Suitable Set of Decision Rules Using Choquet Integral
* Selection of Suspicious ROIs in Breast DCE-MRI
* Selection of Temporal Features for Event Detection in Smart Security
* Selection of temporally dithered codes for increasing virtual depth of field in structured light systems
* Selection of the Best Wavelet Packet Nodes Based on Mutual Information for Speaker Identification
* Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020-2030
* Selection of the optimal parameter value for the Isomap algorithm
* Selection of the optimal prototype subset for 1-NN classification
* Selection of the Speed Command Distance for Improved Performance of a Rule-Based VSL and Lane Change Control
* Selection of Thresholding Methods for Non-desctructive Testing Applications
* Selection of Thresholding Scheme for Image Noise Reduction on Wavelet Components Using Bayesian Estimation
* Selection of Training Instances for Music Genre Classification
* Selection of unique gaze direction based on pupil position
* Selection of universal features for image classification
* Selection of Unknown Objects Specified by Speech Using Models Constructed from Web Images
* Selection of User-Dependent Cohorts Using Bezier Curve for Person Identification
* Selection of Wavelet Subbands Using Genetic Algorithm for Face Recognition
* Selection of Whole-Moon Landing Zones Based on Weights of Evidence and Fractals
* Selection properties of type II maximum likelihood (empirical Bayes) in linear models with individual variance components for predictors
* Selection weighted vector directional filters
* Selection/substitution of Visual Features for Object Tracking
* selectional auto-encoder approach for document image binarization, A
* SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data
* Selectionist relaxation: genetic algorithms applied to image segmentation
* Selective-Attention Correlation Measure for Precision Video Tracking
* Selective-Supervised Contrastive Learning with Noisy Labels
* Selective Acquisition of 3-D Information Enough for Finding Passable Free Spaces Using an Active Stereo Vision System
* Selective Adversarial Adaptation-Based Cross-Scene Change Detection Framework in Remote Sensing Images
* Selective and adaptive signal hiding technique for security of JPEG2000
* Selective and Focused Invariant Recognition Using Distributed Associative Memories (DAM)
* Selective and robust d-dimensional path operators
* Selective and robust perception using multiresolution estimation techniques
* Selective and scalable encryption of enhancement layers for dyadic scalable H.264/AVC by scrambling of scan patterns
* Selective and Simple Graph Structures for Better Description of Local Point-Based Image Features
* Selective Attention-Based Method for Visual Pattern Recognition with Application to Handwritten Digit Recognition and Face Recognition, A
* Selective Attention as Sequential Behavior: Modeling Eye Movements with an Augmented Hidden Markov Model
* Selective attention automatic focus for cognitive crowd monitoring
* Selective Attention for Identification Model: Simulating visual neglect
* Selective Attention in Dynamic Vision
* Selective Attention in the Learning of Invariant Representation of Objects
* Selective Background Adaptation Based Abnormal Acoustic Event Recognition for Audio Surveillance
* Selective capture based high-speed optical vehicular signaling system
* Selective Change-Driven Image Processing: A Speeding-Up Strategy
* Selective Color Correction for Arbitrary Hues
* Selective Color Image Retrieval Based on the Gaussian Mixture Model
* Selective color transfer with multi-source images
* Selective color transferring via ellipsoid color mixture map
* Selective Complementary Features For Multi-Person Pose Estimation
* Selective Concealment of Characters for Privacy Protection
* Selective Contrast Adjustment by Poisson Equation
* Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
* Selective Data Pruning-Based Compression Using High-Order Edge-Directed Interpolation
* Selective data pruning based distributed video coding with modified high-order edge-directed interpolation
* Selective Deblurring for Improved Calcification Visualization and Quantification in Carotid CT Angiography: Validation Using Micro-CT
* Selective deep features for micro-expression recognition
* Selective diffusion for oriented pattern extraction: Application to tagged cardiac MRI enhancement
* Selective Eigenbackground for Background Modeling and Subtraction in Crowded Scenes
* Selective eigenbackgrounds method for background subtraction in crowed scenes
* Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes
* Selective Encoding for Recognizing Unreliably Localized Faces
* Selective Encryption of Human Skin in JPEG Images
* Selective Ensemble Classification of Image Steganalysis Via Deep Q Network
* Selective Ensemble Network for Accurate Crowd Density Estimation
* Selective ensemble of SVDDs with Renyi entropy based diversity measure
* Selective Error Detection for Error-Resilient Wavelet-Based Image Coding
* Selective face encryption in H.264 encoded videos
* Selective Feature-to-Feature Adhesion for Recognition of Cursive Handprinted Characters
* Selective Feature Compression for Efficient Activity Recognition Inference
* Selective feature connection mechanism: Concatenating multi-layer CNN features with a feature selector
* Selective feature fusion network for salient object detection
* Selective FEC for error-resilient image coding and transmission using similarity check functions
* Selective Federated Reinforcement Learning Strategy for Autonomous Driving, A
* Selective focus saliency model driven by object class-awareness
* Selective generation of Gabor features for fast face recognition on mobile devices
* Selective hidden random fields: Exploiting domain-specific saliency for event classification
* Selective image abstraction
* Selective image diffusion: application to disparity estimation
* selective image encryption scheme using LICC hyperchaotic system, A
* Selective Imaging of Extended Reflectors in Two-Dimensional Waveguides
* Selective Intra-Image Similarity for Personalized Fixation-Based Object Segmentation
* Selective Intra Block Size Decision and Fast Intra Mode Decision Algorithms for H.264/AVC Encoder
* Selective Kernel and Motion-emphasized Loss Based Attention-guided Network for HDR Imaging of Dynamic Scenes
* Selective Kernel Networks
* Selective Learning of Human Pose Estimation Based on Multi-Scale Convergence Network
* Selective Light Field Refocusing for Camera Arrays Using Bokeh Rendering and Superresolution
* Selective local tone mapping
* Selective motion estimation strategy based on content classification for HEVC screen content coding
* Selective motion vector redundancies for improved error resilience in HEVC
* Selective Multi-Convolutional Region Feature Extraction based Iterative Discrimination CNN for Fine-Grained Vehicle Model Recognition
* Selective Multi-Grade Charging Scheduling and Rebalancing for One-Way Car-Sharing Systems
* Selective Multi-Source Total Variation Image Restoration
* Selective multiple kernel learning for classification with ensemble strategy
* Selective Nearest Neighbors Clustering
* Selective Overview of Sparse Principal Component Analysis, A
* Selective part-based correlation filter tracking algorithm with reinforcement learning
* Selective part models for detecting partially occluded faces in the wild
* Selective Partition Algorithm for Finding Regions of Maximum Pairwise Dissimilarity among Statistical Class Models
* Selective parts for fine-grained recognition
* Selective Perception for Robot Driving
* Selective perception policies for guiding sensing and computation in multimodal systems: A comparative analysis
* Selective Pooling Vector for Fine-Grained Recognition
* Selective prediction error transmission using motion information
* Selective Privacy-Preserving Approach for Multimedia Data, A
* Selective Progressive Learning for Sparse Depth Completion
* Selective Protection Scheme for Scalable Video Coding, A
* Selective Quality Control of Multiple Video Programs for Digital Broadcasting Services
* Selective Query-Guided Debiasing for Video Corpus Moment Retrieval
* Selective Regional Correlation for Pattern Recognition
* Selective removal of impulse noise based on homogeneity level information
* Selective rendering for efficient ray traced stereoscopic images
* Selective Replay Enhances Learning in Online Continual Analogical Reasoning
* Selective Requantization for Transcoding of MPEG Compressed Video
* Selective Review and Analysis of Aging Effects in Biometric System Implementation
* Selective sampling based on the variation in label assignments
* Selective Sampling Importance Resampling Particle Filter Tracking With Multibag Subspace Restoration
* Selective Scene Modeling
* Selective Search Area Reuse Algorithm for Low External Memory Access Motion Estimation
* Selective Search for Object Recognition
* Selective Sensor Fusion for Neural Visual-Inertial Odometry
* Selective Sharpness Enhancement of Heavily-corrupted Old Film Sequences
* Selective Sorting of Glass Bottles by Artificial Vision
* Selective Sparse Sampling for Fine-Grained Image Recognition
* Selective Spatial Regularization by Reinforcement Learned Decision Making for Object Tracking
* Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos
* selective spatio-temporal interest point detector for human action recognition in complex scenes, A
* Selective spatio-temporal interest points
* Selective Stabilization of Images Acquired by Unmanned Ground Vehicles
* Selective Streaming of Multi-View Video for Head-Tracking 3D Displays
* Selective subtraction when the scene cannot be learned
* Selective Synthetic Aperture Radar and Panchromatic Image Fusion by Using the a Trous Wavelet Decomposition
* Selective Time-Frequency Reassignment Based on Synchrosqueezing
* Selective Tracking and Detection Framework with Target Enhanced Feature, A
* Selective Transfer Machine for Personalized Facial Action Unit Detection
* Selective Transfer Machine for Personalized Facial Expression Analysis
* Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation
* Selective TransHDR: Transformer-Based Selective HDR Imaging Using Ghost Region Mask
* Selective unsupervised feature learning with Convolutional Neural Network (S-CNN)
* Selective Update Approach To Matching Pursuits Video Coding, A
* Selective variational image segmentation combined with registration: Models and algorithms
* Selective video enhancement in the Laguerre-Gauss domain
* Selective Video Object Cutout
* Selective visual attention enables learning and recognition of multiple objects in cluttered scenes
* Selective VS-MRF-ME and intra coding in H.264 based on spatiotemporal continuity of motion field
* Selective Wavelet Attention Learning for Single Image Deraining
* Selective Weakly Supervised Human Detection under Arbitrary Poses
* Selective Weighted Late Fusion for Visual Concept Recognition, A
* Selective X-Ray Reconstruction and Registration for Pose Estimation in 6 Degrees of Freedom
* Selective Zero-Shot Classification with Augmented Attributes
* Selectively Detail-Enhanced Fusion of Differently Exposed Images With Moving Objects
* Selectively guiding visual concept discovery
* Selectivity or Invariance: Boundary-Aware Salient Object Detection
* Selectivity supervision in combining pattern-recognition modalities by feature- and kernel-selective support vector machines
* Self- and Inter-Crossover Points of Jasons' Missions as New Essential Add-on of Satellite Altimetry in the Sub-Arctic Seas and the Southern Ocean
* Self-adapting Confidence Estimation for Stereo
* Self-Adapting Feature Layers
* Self-adaptive algorithm of impulsive noise reduction in color images
* self-adaptive approach for producing clear-sky composites from VIIRS surface reflectance datasets, A
* Self-Adaptive Aspect Ratio Anchor for Oriented Object Detection in Remote Sensing Images
* Self-adaptive CodeBook (SACB) model for real-time background subtraction, A
* Self-adaptive design of hidden Markov models
* Self-Adaptive Differential Evolution with Dynamic Selecting Mutation Strategy, A
* Self-Adaptive Discriminative Autoencoder for Medical Applications, A
* Self-adaptive evolutionary image registration using differential evolution and artificial immune systems
* Self-adaptive expert system for facial expression analysis
* Self-adaptive Feature Fusion Method for Improving LBP for Face Identification
* Self-Adaptive Filtering for Ultra-Large-Scale Airborne LiDAR Data in Urban Environments Based on Object Primitive Global Energy Minimization
* Self-adaptive frequency agility realized with FPGA
* Self-adaptive Gaussian mixture model for urban traffic monitoring system
* self-adaptive Gaussian mixture model, A
* Self-Adaptive Generalized S-Transform and Its Application in Seismic Time-Frequency Analysis
* Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Based on ASTER Data: Part 2, Validation and Sensitivity Analysis
* Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Using ASTER Thermal Infrared Data, Part I: Methodology and Decadal Change Detection
* self-adaptive heterogeneous multi-core architecture for embedded real-time video object tracking, A
* Self-Adaptive Induction of Regression Trees
* self-adaptive local metric learning method for classification, A
* Self-Adaptive Logit Balancing for Deep Learning Robustness in Computer Vision
* Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery
* self-adaptive matched filter for retinal blood vessel detection, A
* Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions
* self-adaptive mean shift tree-segmentation method Using UAV LiDAR data, A
* Self-Adaptive Method for Extraction of Document-Specific Alphabets, A
* Self-Adaptive Method for Mapping Coastal Bathymetry On-The-Fly from Wave Field Video, A
* Self-adaptive Multi-scale Aggregation Network for Stereo Matching
* Self-Adaptive Neural Module Transformer for Visual Question Answering
* Self-Adaptive Optimization Individual Tree Modeling Method for Terrestrial LiDAR Point Clouds, A
* Self-Adaptive Parameter Selection Trajectory Prediction Approach via Hidden Markov Models, A
* self-adaptive phase-segmentation and health assessment framework for point machines, A
* Self-adaptive RBF Neural Networks for Face Recognition
* Self-Adaptive Regularization
* self-adaptive segmentation method for a point cloud, A
* Self-Adaptive Skin Segmentation in Color Images
* Self-adaptive SOM-CNN neural system for dynamic object detection in normal and complex scenarios
* Self-adaptive stretch in anamorphic image compression
* Self-adaptive SVDD integrated with AP clustering for one-class classification
* Self-Adaptive Threshold Canny Operator in Color Image Edge Detection
* Self-Adaptive Thresholding Approach for Automatic Water Extraction Using Sentinel-1 SAR Imagery Based on OTSU Algorithm and Distance Block, A
* Self-Adaptive Tolling Strategy for Enhanced High-Occupancy Toll Lane Operations
* Self-Adaptive Wavelet-Based Algorithm for Wave Measurement Using Nautical Radar, A
* self-adaptive weighted affinity propagation clustering for key frames extraction on human action recognition, A
* Self-adaptive weighted synthesised local directional pattern integrating with sparse autoencoder for expression recognition based on improved multiple kernel learning strategy
* Self-Adaptively Weighted Co-Saliency Detection via Rank Constraint
* Self-adjusted active contours using multi-directional texture cues
* Self-Adjusting Approach to Change Detection Based on Background Word Consensus, A
* Self-Adjusting Thresholding for Burnt Area Detection Based on Optical Images
* Self-Adjusting Weighted Median Filter for Removing Impulse Noise in Images, A
* Self-Adversarial Disentangling for Specific Domain Adaptation
* Self-Affine Mapping System and Its Application to Object Contour Extraction
* Self-affine Mapping System for Object Contour Extraction
* Self-affine snake for medical image segmentation
* Self-Aligned Video Deraining with Transmission-Depth Consistency
* Self-Alignment for Black-Box Domain Adaptation of Image Classification
* Self-Alignment of a Binocular Robot
* Self-alignment of an Active Head from Observations of Rotation Matrices
* Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling
* Self-assessed Contrast-Maximizing Adaptive Region Growing
* Self-Assignment Flows for Unsupervised Data Labeling on Graphs
* Self-attention-based conditional random fields latent variables model for sequence labeling
* Self-Attention-Based Conditional Variational Auto-Encoder Generative Adversarial Networks for Hyperspectral Classification
* Self-Attention-Based Multiscale Feature Learning Optical Flow With Occlusion Feature Map Prediction
* Self-Attention Agreement Among Capsules
* Self-Attention and Convolution Fusion Network for Land Cover Change Detection over a New Data Set in Wenzhou, China
* Self-Attention based fine-grained cross-media hybrid network
* Self-Attention Based Network for Punctuation Restoration
* Self-attention based Text Knowledge Mining for Text Detection
* Self-attention binary neural tree for video summarization
* Self-attention Capsule Network for Tissue Classification in Case of Challenging Medical Image Statistics
* Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification
* Self-Attention Dense Depth Estimation Network for Unrectified Video Sequences
* Self-attention driven adversarial similarity learning network
* Self-attention for raw optical Satellite Time Series Classification
* Self-attention fusion for audiovisual emotion recognition with incomplete data
* Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images
* Self-Attention Memory-Augmented Wavelet-CNN for Anomaly Detection
* Self-Attention Message Passing for Contrastive Few-Shot Learning
* Self-Attention Network for Skeleton-based Human Action Recognition
* Self-Attention with Convolution and Deconvolution for Efficient Eye Gaze Estimation from a Full Face Image
* Self-attentive 3D human pose and shape estimation from videos
* Self-attentive Adversarial Stain Normalization
* Self-Attentive Hybrid Coding Network for 3D Change Detection in High-Resolution Optical Stereo Images, A
* self-attentive model for tracing knowledge and engagement in parallel, A
* Self-Attentive Pooling for Efficient Deep Learning
* Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation
* Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition
* Self-Aware and Self-Expressive Camera Networks
* Self-Aware Matching Measure for stereo, The
* Self-Balanced Learning for Domain Generalization
* Self-Balanced Min-Cut Algorithm for Image Clustering, A
* Self-Balanced R-CNN for instance segmentation
* Self-Balancing Decentralized Distributed Platform for Urban Traffic Simulation
* Self-boosting Framework for Automated Radiographic Report Generation, A
* Self-born Wiring for Neural Trees
* Self-calibrated and SNR-enhanced particle holography
* Self-Calibrated Efficient Transformer for Lightweight Super-Resolution
* Self-Calibrated Multi-Floor Localization Based on Wi-Fi Ranging/Crowdsourced Fingerprinting and Low-Cost Sensors
* Self-Calibrated Non-Parametric Time Series Analysis Approach for Assessing Insect Defoliation of Broad-Leaved Deciduous Nothofagus pumilio Forests, A
* self-calibrated photo-geometric depth camera, A
* Self-calibrated, Multi-spectral Photometric Stereo for 3D Face Capture
* Self-calibrating 3D-ultrasound-based bone registration for minimally invasive orthopedic surgery
* Self-calibrating 3D context for retrieving people with luggage
* Self-calibrating a real-time monocular 3d facial capture system
* Self-Calibrating a Stereo Head: An Error Analysis in the Neighbourhood of Degenerate Configurations
* Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations
* Self-Calibrating Cameras in Video Surveillance
* Self-Calibrating Cameras Using Semidefinite Programming
* Self-Calibrating Deep Photometric Stereo Networks
* Self-calibrating depth from refraction
* Self-Calibrating Imaging Polarimetry
* Self-Calibrating Isometric Non-Rigid Structure-from-Motion
* Self-Calibrating Method for Photogeometric Acquisition of 3D Objects, A
* Self-calibrating network analysis for panoramic cameras by heuristic simulation
* Self-Calibrating Neural Radiance Fields
* Self-calibrating Photometric Stereo by Neural Inverse Rendering
* Self-calibrating photometric stereo
* Self-Calibrating Polarising Radiometric Calibration
* Self-Calibrating Runoff and Streamflow Remote Sensing Model for Ungauged Basins Using Open-Access Earth Observation Data, A
* Self-calibrating Surface Reconstruction for the Modelmaker
* Self-Calibrating View-Invariant Gait Biometrics
* Self-Calibrating, Vision-Based Navigation Assistant, A
* Self-Calibration-Based Approach to Critical Motion Sequences of Rolling-Shutter Structure from Motion
* Self-Calibration Adjustment of CBERS-02B Long-Strip Imagery
* Self-calibration Algorithm Based on a Unified Framework for Constraints on Multiple Views, A
* Self-Calibration and Bilinear Inverse Problems via Linear Least Squares
* Self-Calibration and Collaborative Localization for UWB Positioning Systems: A Survey and Future Research Directions
* Self-Calibration and Control of a PTZ Camera Based on a Spherical Mirror
* Self-Calibration and Euclidean Reconstruction Using Motions of a Stereo Rig
* Self-calibration and evaluation of the Trimble GX terrestrial laser scanner
* Self-Calibration and Metric 3D Reconstruction from Uncalibrated Image Sequences
* Self-Calibration and Metric Reconstruction from a Single Image
* Self-Calibration and Metric Reconstruction in Spite of Varying and Unknown Internal Camera Parameters
* Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters
* Self-calibration and Motion Recovery from Silhouettes with Two Mirrors
* Self-calibration and neural network implementation of photometric stereo
* Self-calibration Based 3D Information Extraction and Application in Broadcast Soccer Video
* Self-calibration based in invariant view recognition: Dynamic approach to navigation
* Self-Calibration Bundle Adjustment Method for Photogrammetric Processing of Chang 'E-2 Stereo Lunar Imagery, A
* Self-calibration dense bundle adjustment of multi-view Worldview-3 basic images
* Self-Calibration from Four Views with Possibly Varying Intrinsic Parameters
* Self-Calibration from Image Derivatives
* Self-Calibration from Image Triplets
* Self-Calibration from Multiple Views with a Rotating Camera
* Self-calibration from one circular motion sequence and two images
* Self-calibration from Planes Using Differential Evolution
* Self-calibration from the absolute conic on the plane at infinity
* Self-calibration from turn-table sequences in presence of zoom and focus
* Self-calibration from vehicle information
* Self-Calibration Method Based on Surface Micromaching of Light Transceiver Focal Plane for Optical Camera
* Self-calibration method for rotating laser positioning system using interscanning technology and ultrasonic ranging
* self-calibration method for smart video cameras, A
* Self-Calibration of a 1D Projective Camera and Its Application to the Self-Calibration of a 2D Projective Camera
* Self-Calibration of a 3D Range Camera
* Self-calibration of a camera from video of a walking human
* Self-Calibration of a Camera Using Multiple Images
* Self-calibration of a General Radially Symmetric Distortion Model
* Self-calibration of a light striping system by matching multiple 3-D profile maps
* Self-Calibration of a Moving Camera by Pre-Calibration
* Self-Calibration of a Moving Camera from Point Correspondences and Fundamental Matrices
* Self-Calibration of a Moving Zoom-Lens Camera by Pre-Calibration
* Self-calibration of a PTZ Camera Using New LMI Constraints
* Self-calibration of a Rotating Camera with Varying Intrinsic Parameters
* Self-calibration of a simplified camera using Kruppa equations
* Self-Calibration of a Stereo-Camera by Pure Translational Motion
* Self-calibration of a Stereo Rig in a Planar Scene by Data Combination
* Self-calibration of a stereo rig using monocular epipolar geometries
* Self-Calibration of a Stereo Rig Using Monocular Epipolar Geometry
* Self-calibration of a vision-based sensor network
* Self-Calibration of an Affine Camera from Multiple Views
* Self-calibration of an affine camera
* Self-Calibration of an Uncalibrated Stereo Rig from One Unknown Motion
* Self-calibration of asynchronized camera networks
* Self-calibration of Cameras with Euclidean Image Plane in Case of Two Views and Known Relative Rotation Angle
* Self-Calibration of Catadioptric Camera with Two Planar Mirrors from Silhouettes
* Self-calibration of digital aerial camera using combined orthogonal models
* Self-calibration of hybrid central catadioptric and perspective cameras
* Self-calibration of multiple-line-lasers based on coplanarity and Epipolar constraints for wide area shape scan using moving camera
* Self-Calibration of Multiple Laser Planes for 3D Scene Reconstruction
* Self-calibration of omnidirectional multi-cameras including synchronization and rolling shutter
* Self-Calibration of Optical Lenses
* Self-Calibration of Radially Symmetric Distortion by Model Selection
* Self-Calibration of Rotating and Zooming Cameras
* Self-calibration of spherical rectification for a PTZ-stereo system
* Self-calibration of Stationary Cameras
* Self-calibration of stationary non-rotating zooming cameras
* Self-Calibration of Stereo Cameras
* Self-calibration of terrestrial laser scanner using a M3C2-based planar patch algorithm
* Self-Calibration of the Fixation Movement of a Stereo Camera Head
* Self-Calibration of the Intrinsic Parameters of Cameras for Active Vision Systems
* Self-Calibration of the Offset Between GPS and Semantic Map Frames for Robust Localization
* Self-calibration Of The Trimble (mensi) Gs200 Terrestrial Laser Scanner
* Self-Calibration of Traffic Surveillance Cameras Based on Moving Vehicle Appearance and 3-D Vehicle Modeling
* Self-Calibration of Turntable Sequences from Silhouettes
* Self-calibration of wireless cameras with restricted degrees of freedom
* Self-Calibration of Zooming Cameras from a Single Viewpoint
* Self-calibration of Zooming Cameras Observing an Unknown Planar Structure
* Self-calibration system for the orientation of a vehicle camera
* Self-Calibration Technique for Active Vision Systems, A
* Self-Calibration Under the Cayley Framework
* Self-Calibration Using Constant Camera Motion
* Self-calibration with Partially Known Rotations
* Self-Calibration with Two Views Using the Scale-Invariant Feature Transform
* Self-calibration with varying focal length from two images obtained by a camera with small rotation and general translation
* Self-calibration with varying focal length from two images obtained by a stereo head
* Self-challenging Improves Cross-domain Generalization
* Self-Challenging Mask for Cross-Domain Few-Shot Classification
* Self-closed partial shape descriptor for shape retrieval
* Self-closure global registration for subway tunnel point clouds
* Self-Clustering Symmetry Detection
* Self-Coaching System Based on Recorded Driving Data: Learning From One's Experiences
* Self-Collimating SPECT With Multi-Layer Interspaced Mosaic Detectors
* Self-competitive Neural Networks
* Self-Conditioned Probabilistic Learning of Video Rescaling
* Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications
* Self-Configurable Systolic Architecture for Face Recognition System Based on Principal Component Neural Network, A
* Self-Consistency and MDL: A Paradigm for Evaluating Point-Correspondence Algorithms, and Its Application to Detecting Changes in Surface Elevation
* Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point Correspondence Algorithms
* Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis, A
* Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation
* Self-Constrained Spectral Clustering
* Self-Contained and Self-Checking LPS with High Accuracy, A
* Self-contained slices in H.264 for partial video decoding targeting 3D light-field displays
* Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer
* Self-Contrastive Learning Framework for Skin Cancer Detection Using Histological Images, A
* Self-Correcting 100-Font Classifier, A
* Self-Correction for Human Parsing
* Self-correction of 3D reconstruction from multi-view stereo images
* Self-Critical Attention Learning for Person Re-Identification
* Self-Critical N-Step Training for Image Captioning
* Self-Critical Sequence Training for Image Captioning
* Self-Crossing Detection and Location for Parametric Active Contours
* Self-Defense-Technologies for Automated Teller Machines
* Self-Describing Context-Based Pixel Ordering
* Self-Dictionary Regression for Hyperspectral Image Super-Resolution
* Self-Distillation for Few-Shot Image Captioning
* Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving
* Self-Distillation for Unsupervised 3D Domain Adaptation
* Self-Distillation from the Last Mini-Batch for Consistency Regularization
* self-distillation object segmentation method via frequency domain knowledge augmentation, A
* Self-Distillation: Towards Efficient and Compact Neural Networks
* Self-distilled Feature Aggregation for Self-supervised Monocular Depth Estimation
* Self-Distilled Hierarchical Network for Unsupervised Deformable Image Registration
* Self-Distilled Self-supervised Representation Learning
* Self-distilled Vision Transformer for Domain Generalization
* Self-driving cars and the law
* Self-driving cars have a bicycle problem
* Self-Driving Cars
* Self-driving tech for non-cars: From mall shuttles to monster trucks, Perrone Robotics is ready to debut its self-driving tech-[News]
* Self-Driving Vehicle Technology: Progress and Promises
* Self-driving wheelchairs debut in hospitals and airports
* Self-Dual Filtering Toggle Operator for Speckle Noise Filtering, A
* Self-dual inclusion filters for grayscale imagery
* Self-Dual Morphological Operators and Filters
* Self-duality and Digital Topology: Links Between the Morphological Tree of Shapes and Well-Composed Gray-Level Images
* Self-Eigenroughness Selection for Texture Recognition Using Genetic Algorithms
* self-embedding secure fragile watermarking scheme with high quality recovery, A
* Self-embedding watermarking scheme for colour images by bi-level moment-preserving technique
* Self-Enhanced Convolutional Network for Facial Video Hallucination
* Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation
* Self-Equalizing De Bruijn Sequence for 3D Profilometry, The
* Self-Error-Correcting Convolutional Neural Network for Learning with Noisy Labels
* Self-Error-Correction-Based Reversible Watermarking Scheme for Vector Maps, A
* Self-evaluation for active vision by the geometric information criterion
* Self-Explaining Abilities of an Intelligent Agent for Transparency in a Collaborative Driving Context
* Self-explanatory Sparse Representation for Image Classification
* Self-Expressive Dictionary Learning for Dynamic 3D Reconstruction
* Self-expressive tracking
* Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition
* Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization
* Self-Fluence-Compensated Functional Photoacoustic Microscopy
* Self-Fourier functions and self-Fourier operators
* Self-Fusion Convolutional Neural Networks
* Self-Gating: An Adaptive Center-of-Mass Approach for Respiratory Gating in PET
* Self-generated Defocus Blur Detection via Dual Adversarial Discriminators
* Self-generating prototypes for pattern classification
* Self-geometric relationship filter for efficient SIFT key-points matching in full and partial palmprint recognition
* Self-governing Hybrid Model for Noise Removal, A
* self-governing rate buffer control strategy for pseudoconstant bit rate video coding, A
* Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction
* Self-Growing Spatial Graph Networks for Pedestrian Trajectory Prediction
* Self-Guidance: Improve Deep Neural Network Generalization via Knowledge Distillation
* Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection
* Self-Guided Adversarial Learning for Domain Adaptive Semantic Segmentation
* Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
* Self-Guided Belief Propagation: A Homotopy Continuation Method
* Self-Guided Body Part Alignment With Relation Transformers for Occluded Person Re-Identification
* Self-guided filter for image denoising
* Self-Guided Image Dehazing Using Progressive Feature Fusion
* Self-guided information for few-shot classification
* Self-guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
* Self-Guided Network for Fast Image Denoising
* Self-Guided Novel View Synthesis via Elastic Displacement Network
* Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil
* Self-guided Stereo Correspondence Estimation Algorithm
* Self-Guiding Multimodal LSTM: When We Do Not Have a Perfect Training Dataset for Image Captioning
* Self-identifying patterns for plane-based camera calibration
* self-immune to 3D masks attacks face recognition system, A
* Self-improving classification performance through GAN distillation
* Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery, A
* Self-improving Multiplane-to-layer Images for Novel View Synthesis
* Self-Incremental Learning for Rapid Identification of Collapsed Buildings Triggered by Natural Disasters
* Self-induced color correction for skin tracking under varying illumination
* Self-Inducing Relational Distance and its Application to Image Segmentation
* Self-information of radicals: A new clue for zero-shot Chinese character recognition
* Self-Initializing PolInSAR Classifier Using Interferometric Phase Differences, A
* Self-Invertible 2D Log-Gabor Wavelets
* Self-knowledge distillation based on knowledge transfer from soft to hard examples
* Self-knowledge distillation via dropout
* Self-Knowledge Distillation with Progressive Refinement of Targets
* Self-Label Refining for Unsupervised Person Re-Identification
* Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections
* Self-learning-based post-processing for image/video deblocking via sparse representation
* Self-learning approach to color demosaicking via support vector regression
* Self-Learning Approach to Single Image Super-Resolution, A
* Self-Learning Based Image Decomposition With Applications to Single Image Denoising
* Self-Learning Based Land-Cover Classification Using Sequential Class Patterns from Past Land-Cover Maps
* Self-learning for face clustering
* Self-Learning for Few-Shot Remote Sensing Image Captioning
* Self-learning Ontology for Instance Segmentation of 3d Indoor Point Cloud
* Self-Learning Optimal Cruise Control Based on Individual Car-Following Style
* Self-learning pattern classification using a sequential clustering technique
* Self-Learning pLSA Model for Abnormal Behavior Detection in Crowded Scenes
* Self-learning residual model for fast intra CU size decision in 3D-HEVC
* Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics
* Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model
* Self-learning Segmentation and Classification of Cell-Nuclei in 3D Volumetric Data Using Voxel-Wise Gray Scale Invariants
* Self-learning structure for text localization
* Self-Learning Super-Resolution Using Convolutional Principal Component Analysis and Random Matching
* Self-learning Tumor Segmentation Method on DCE-MRI Images, A
* Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence
* Self-Learning With Rectification Strategy for Human Parsing
* SELF-LLP: Self-supervised learning from label proportions with self-ensemble
* Self-Localization at Street Intersections
* Self-Localization Based on Visual Lane Marking Maps: An Accurate Low-Cost Approach for Autonomous Driving
* Self-Localization in Scanned 3DTV Sets
* Self-Localization Method by Integrating Sensors
* Self-Localization of a Mobile Robot Using Compressed Image Data of Average and Standard Deviation
* Self-Localization of Asynchronous Wireless Nodes With Parameter Uncertainties
* Self-localization of mobile robot equipped with omnidirectional camera using image matching and 3D-2D edge matching
* Self-localization on texture statistics
* Self-localizing dynamic microphone arrays
* Self-Location of a Mobile Robot With Uncertainty by Cooperation of an Heading Sensor and a CCD TV Camera
* Self-Maintaining Camera Calibration over Time
* Self-Matching CAM: A Novel Accurate Visual Explanation of CNNs for SAR Image Interpretation
* Self-Modulated Halftones
* Self-Motion-Assisted Tensor Completion Method for Background Initialization in Complex Video Sequences
* Self-motion and the perception of stationary objects
* Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation
* Self-Mutating Network for Domain Adaptive Segmentation of Aerial Images
* Self-Mutual Distillation Learning for Continuous Sign Language Recognition
* Self-Mutual Information-Based Band Selection for Hyperspectral Image Classification
* Self-Navigated Three-Dimensional Ultrashort Echo Time Technique for Motion-Corrected Skull MRI
* Self-normalising linear camera resection
* Self-Normalization Reconstruction Technique for PET Scans Using the Positron Emission Data, A
* Self-normalized linear tests
* Self-occlusion and 3D pose estimation in still images
* Self-occlusion handling for human body motion tracking from 3D ToF image sequence
* Self-occlusion immune video tracking of objects in cluttered environments
* Self-Occlusions and Disocclusions in Causal Video Object Segmentation
* Self-Optimizing Control System for Adaptive Image Segmentation
* Self-organised clustering for road extraction in classified imagery
* Self-organised parameter estimation and segmentation of MRF model-based texture images
* Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval
* self-organization based optical flow estimator with GPU implementation, A
* Self-Organization Characteristics of Lunar Regolith Inferred by Yutu-2 Lunar Penetrating Radar
* Self-organization in a perceptual network
* Self-Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization
* Self-Organization of a Robot Swarm into Concentric Shapes
* Self-Organization of Pulse-Coupled Oscillators with Application to Clustering
* Self-Organization of Randomly Placed Sensors
* Self-organization of sensor networks for detection of pervasive faults
* self-organized approach for unsupervised fault detection in multiple systems, A
* Self-Organized Coordinated Motion in Groups of Physically Connected Robots
* Self-Organized Integration of Adaptive Visual Cues for Face Tracking
* Self-Organized Model Fitting Method for Railway Structures Monitoring Using LiDAR Point Cloud
* Self-organized night video enhancement for surveillance systems
* Self-Organized Residual Blocks for Image Super-Resolution
* Self-Organized Text Detection with Minimal Post-processing via Border Learning
* Self-Organized Variational Autoencoders (Self-Vae) for Learned Image Compression
* Self-Organizing-Queue Based Clustering
* Self-Organizing Algorithm of Robust PCA Based on Single-Layer NN
* Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications, A
* Self-organizing Approach to Detection of Moving Patterns for Real-Time Applications, A
* Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection
* Self-organizing codebooks for trellis-coded VQ
* Self-Organizing Control of Mega Constellations for Continuous Earth Observation
* Self-organizing Deformable Model for Mapping 3D Object Model onto Arbitrary Target Surface
* Self-organizing Deformable Model: A New Method for Fitting Mesh Model to Given Object Surface
* Self-Organizing Desk, The
* Self-Organizing Frequency Approach to 802.11p Channel Estimation, A
* Self-Organizing Hopfield Network for Attributed Relational Graph Matching
* self-organizing lattice Boltzmann active contour (SOLBAC) approach for fast and robust object region segmentation, A
* Self-Organizing Map approach to determining compromised solutions for multi-objective UAV path planning
* Self-Organizing Map Based User Interface for Visual Surface Inspection
* Self-Organizing Map Classification
* Self-organizing map for clustering in the graph domain
* Self-Organizing Map for Segmenting 3D Biological Images
* Self-Organizing Map Methodology and Google Maps Services for Geographical Epidemiology Mapping
* Self-organizing Maps and Ancient Documents
* Self-organizing maps and Gestalt organization as components of an advanced system for remotely sensed data: An example with thermal hyper-spectra
* Self-organizing maps based 3D normal mesh compression
* Self-Organizing Maps for Clustering Hyperspectral Images On-Board a CubeSat
* Self-Organizing Maps for Fingerprint Image Quality Assessment
* Self-Organizing Maps for Learning the Edit Costs in Graph Matching
* Self-organizing Maps for Motor Tasks Recognition from Electrical Brain Signals
* Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera
* Self-Organizing Maps for the Automatic Interpretation of Crowd Dynamics
* Self-Organizing Maps to Evaluate Multidimensional Trajectories of Shrinkage in Spain
* Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations
* Self-Organizing Multiple-View Representation of 3D objects, A
* Self-organizing neural-network-based pattern clustering method with fuzzy outputs
* Self-Organizing Neural-Network Architecture for Navigation Using Optic Flow, A
* Self-Organizing Neural Network that Learns to Detect and Represent Visual Depth from Occlusion Events, A
* Self-Organizing Neural Networks Based on Spatial Isomorphism for Active Contour Modeling
* Self-Organizing Neural Networks for Spatial Data
* Self-Organizing Neuro-Fuzzy Inference System
* Self-Organizing Principle for Segmenting and Super-Resolving ISAR Images, A
* Self-organizing segmentor and feature extractor
* Self-organizing shape description for tracking and classifying multiple interacting objects
* Self-Organizing Topological Tree for Online Vector Quantization and Data Clustering
* Self-organizing traffic control using carrying capacity modelling in adjacent weaving sections
* Self-organizing trajectories
* Self-Organizing Tree Map for Eliminating Impulse Noise with Random Intensity Distributions
* Self-Organizing Trees and Forests: A Powerful Tool in Pattern Clustering and Recognition
* Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters
* Self-Paced Adversarial Training for Multimodal Few-Shot Learning
* Self-Paced AutoEncoder
* Self-Paced BCI With a Collaborative Controller for Highly Reliable Wheelchair Driving: Experimental Tests With Physically Disabled Individuals, A
* Self-paced Bottom-up Clustering Network with Side Information for Person Re-Identification
* Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation
* Self-Paced Convolutional Neural Network for PolSAR Images Classification
* Self-paced deep clustering with learning loss
* Self-paced Deep Regression Forests with Consideration on Underrepresented Examples
* Self-Paced Dynamic Infinite Mixture Model for Fatigue Evaluation of Pilots' Brains
* Self-Paced Enhanced Low-Rank Tensor Kernelized Multi-View Subspace Clustering
* Self-Paced Feature Attention Fusion Network for Concealed Object Detection in Millimeter-Wave Image
* Self-Paced Joint Sparse Representation for the Classification of Hyperspectral Images
* Self-Paced Kernel Estimation for Robust Blind Image Deblurring
* Self-Paced Knowledge Distillation for Real-Time Image Guided Depth Completion
* Self-paced Learning for K-means Clustering Algorithm
* Self-Paced Learning for Long-Term Tracking
* Self-paced Learning to Improve Text Row Detection in Historical Documents with Missing Labels
* Self-paced least square semi-coupled dictionary learning for person re-identification
* Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection, A
* Self-Paced Nonnegative Matrix Factorization for Hyperspectral Unmixing
* Self-paced principal component analysis
* Self-paced resistance learning against overfitting on noisy labels
* Self-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing Imagery
* Self-Parameter Distillation Dehazing
* Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations
* Self-Play or Group Practice: Learning to Play Alternating Markov Game in Multi-Agent System
* Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk
* Self-position Estimation of Autonomous Mobile Robot with Size-variable Image Template
* Self-Powered ZigBee Wireless Sensor Nodes for Railway Condition Monitoring
* Self-prediction for Joint Instance and Semantic Segmentation of Point Clouds
* Self-produced Guidance for Weakly-Supervised Object Localization
* Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
* Self-Promoted Supervision for Few-Shot Transformer
* Self-Quotient epsilon-Filter for Feature Extraction from Noise Corrupted Image
* Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels, A
* Self-recalibration of a colour-encoded light system for automated 3-D measurements
* Self-recalibration of a structured light system via plane-based homography
* Self-Recognized Image Protection Technique that Resists Large-Scale Cropping
* Self-Reconfigurable Platform for Scalable DCT Computation Using Compressed Partial Bitstreams and BlockRAM Prefetching, A
* Self-Reconfigurable Smart Camera Networks
* Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks
* Self-recovery Fragile Watermarking Scheme with Variable Watermark Payload
* Self-rectification and depth estimation of stereo video in a real-time smart camera system
* Self-reference hyperspectral holographic microscopy
* Self-Referenced Deep Learning
* Self-Referenced DLR 3D-Modeler, The
* self-referenced hand-held range sensor, A
* Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples, A
* Self-Referential Perceptual Inference Framework for Video Interpretation, A
* Self-Refining Deep Symmetry Enhanced Network for Rain Removal
* Self-regularized prototypical network for few-shot semantic segmentation
* Self-Regulated Feature Learning via Teacher-free Feature Distillation
* Self-Regulated Learning and Online Learning: A Systematic Review
* Self-Regulated Learning for Egocentric Video Activity Anticipation
* Self-Regulating Multi-Clutter Suppression Framework for Small Aperture HFSWR Systems, A
* Self-Regulation for Semantic Segmentation
* Self-reinforced diffusion for graph-based semi-supervised learning
* Self-Reinforcing Unsupervised Matching
* Self-Repelling Snakes for Topology-Preserving Segmentation Models
* Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews
* Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces
* Self-restrained triplet loss for accurate masked face recognition
* Self-restraint object recognition by model based CNN learning
* Self-Robust 3D Point Recognition via Gather-Vector Guidance
* Self-SAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network
* Self-Secondaries Formed by Cold Spot Craters on the Moon
* Self-Segmentation of Sequences: Automatic Formation of Hierarchies of Sequential Behaviors
* Self-Selective Context for Interaction Recognition
* Self-Similar Anisotropic Texture Analysis: The Hyperbolic Wavelet Transform Contribution
* Self-Similar Convolution Image Distribution Histograms as Invariant Identifiers
* Self-similar Discrete Rotation Configurations and Interlaced Sturmian Words
* Self-Similar Prior and Wavelet Bases for Hidden Incompressible Turbulent Motion
* Self-Similar Random Field Models in Discrete Space
* Self-similar regularization of optic-flow for turbulent motion estimation
* Self-similar Sketch
* Self-Similar Texture Characterization Using a Fourier Domain Maximum Likelihood Estimation Method
* Self-Similar Texture Characterization Using Wigner-Ville Distribution
* Self-similar texture modeling using FARIMA processes with applications to satellite images
* Self-Similarities in Difference Images: A New Cue for Single-Person Oriented Action Recognition
* Self-similarity-based image colorization
* Self-Similarity-based Image Denoising
* Self-similarity-based partial near-duplicate video retrieval and alignment
* Self-Similarity Action Proposal
* Self-Similarity and Points of Interest
* Self-Similarity and Spectral Correlation Adaptive Algorithm for Color Demosaicking
* Self-similarity based structural regularity for just noticeable difference estimation
* Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-Resolution
* Self-Similarity Driven Color Demosaicking
* Self-Similarity Driven Demosaicking
* Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification
* Self-Similarity Inpainting
* Self-similarity matching with predictive linear upsampling for depth map
* Self-Similarity Measure for Assessment of Image Visual Quality
* Self-similarity measure for multi-modal image registration
* self-similarity of digital straight lines, The
* Self-similarity of Images in the Fourier Domain, with Applications to MRI
* Self-similarity of Images in the Wavelet Domain in Terms of L2 and Structural Similarity (SSIM)
* Self-similarity of Noise in scale-space
* Self-similarity Student for Partial Label Histopathology Image Segmentation
* Self-slimmed Vision Transformer
* Self-Sorting Map: An Efficient Algorithm for Presenting Multimedia Data in Structured Layouts
* Self-Stabilizing Colonic Capsule Endoscopy: Pilot Study of Acute Canine Models
* Self-Stimulatory Behaviours in the Wild for Autism Diagnosis
* Self-Structural Syntax-Directed Pattern Recognition of Dimensioning Components in Engineering Drawings
* Self-structured pyramid network with parallel spatial-channel attention for change detection in VHR remote sensed imagery
* Self-Sufficient Feature Enhancing Networks for Video Salient Object Detection
* Self-Superflow: Self-Supervised Scene Flow Prediction in Stereo Sequences
* Self-supervised 2D face presentation attack detection via temporal sequence sampling
* Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations
* Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
* Self-Supervised 3D Face Reconstruction via Conditional Estimation
* Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning
* Self-Supervised 3D Hand Pose Estimation Through Training by Fitting
* Self-supervised 3d Human Pose Estimation in Static Video via Neural Rendering
* Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
* Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry
* Self-Supervised 3D Mesh Reconstruction from Single Images
* Self-Supervised 3D Reconstruction and Ego-Motion Estimation Via On-Board Monocular Video
* Self-Supervised 3D Representation Learning of Dressed Humans From Social Media Videos
* Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity
* Self-supervised 4D Spatio-temporal Feature Learning via Order Prediction of Sequential Point Cloud Clips
* Self-supervised adaptation for on-line script text recognition
* Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking
* Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval
* Self-Supervised Adversarial Video Summarizer With Context Latent Sequence Learning
* Self-Supervised Agent Learning for Unsupervised Cross-Domain Person Re-Identification
* Self-Supervised Annotation of Seismic Images Using Latent Space Factorization
* Self-supervised Approach for Adversarial Robustness, A
* Self-Supervised Approach for Facial Movement Based Optical Flow
* Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation
* Self-Supervised Assisted Semi-Supervised Residual Network for Hyperspectral Image Classification
* Self-Supervised Attention Mechanism for Pediatric Bone Age Assessment With Efficient Weak Annotation
* Self-Supervised Audio Spatialization with Correspondence Classifier
* Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
* Self-supervised Augmented Patches Segmentation for Anomaly Detection
* Self-Supervised Auxiliary Domain Alignment for Unsupervised 2D Image-Based 3D Shape Retrieval
* Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing
* Self-Supervised Blind Image Deconvolution via Deep Generative Ensemble Learning
* Self-supervised blur detection from synthetically blurred scenes
* Self-Supervised Bodymap-to-Appearance Co-Attention for Partial Person Re-Identification
* Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction, A
* Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography
* Self-Supervised Class-Cognizant Few-Shot Classification
* Self-Supervised Classification Network
* Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks
* Self-supervised clustering with assistance from off-the-shelf classifier
* Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On
* Self-Supervised Colorization Towards Monochrome-Color Camera Systems Using Cycle CNN
* Self-Supervised Convolutional Subspace Clustering Network
* Self-Supervised Cooperative Colorization of Achromatic Faces
* Self-Supervised Correlation Learning for Cross-Modal Retrieval
* Self-supervised Correlation Mining Network for Person Image Generation
* Self-supervised Correspondence Estimation via Multiview Registration
* Self-Supervised Cross-Modal Distillation for Thermal Infrared Tracking
* Self-Supervised Cross-Video Temporal Learning for Unsupervised Video Domain Adaptation
* Self-Supervised Cryo-Electron Tomography Volumetric Image Restoration from Single Noisy Volume with Sparsity Constraint
* Self-Supervised CycleGAN for Object-preserving Image-to-Image Domain Adaptation
* Self-Supervised Deep Correlation Tracking
* Self-Supervised Deep Depth Denoising
* Self-Supervised Deep Fisheye Image Rectification Approach using Coordinate Relations
* Self-Supervised deep homography estimation with invertibility constraints
* Self-supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics
* Self-Supervised Deep Learning Framework for Unsupervised Few-Shot Learning and Clustering, A
* Self-Supervised Deep Monocular Depth Estimation With Ambiguity Boosting
* Self-supervised deep reconstruction of mixed strip-shredded text documents
* Self-Supervised Deep TripleNet for Video Object Segmentation
* Self-Supervised Deep Visual Odometry Based on Geometric Attention Model
* Self-Supervised Deep Visual Odometry With Online Adaptation
* Self-supervised Deformation Modeling for Facial Expression Editing
* Self-supervised Dehazing Network Using Physical Priors
* Self-Supervised Denoising for Real Satellite Hyperspectral Imagery
* Self-Supervised Dense Consistency Regularization for Image-to-Image Translation
* Self-Supervised Depth Completion Based on Multi-Modal Spatio-Temporal Consistency
* Self-Supervised Depth Completion From Direct Visual-LiDAR Odometry in Autonomous Driving
* Self-Supervised Depth Completion via Adaptive Sampling and Relative Consistency
* Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors
* Self-Supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness
* Self-Supervised Descriptor for Image Copy Detection, A
* Self-Supervised Despeckling Algorithm with an Enhanced U-Net for Synthetic Aperture Radar Images
* Self-supervised Detection and Pose Estimation of Logistical Objects in 3D Sensor Data
* Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation
* Self-Supervised Discovering of Interpretable Features for Reinforcement Learning
* Self-Supervised Disentangled Embedding for Robust Image Classification
* Self-supervised Disentanglement of Modality-Specific and Shared Factors Improves Multimodal Generative Models
* Self-Supervised Distilled Learning for Multi-modal Misinformation Identification
* Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning
* Self-supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images
* Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency
* Self-Supervised Domain Adaptation in Crowd Counting
* Self-Supervised Domain Adaptation with Consistency Training
* Self-Supervised Domain Mismatch Estimation for Autonomous Perception
* Self-Supervised ECG Representation Learning for Emotion Recognition
* Self-Supervised Effective Resolution Estimation with Adversarial Augmentations
* Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications
* Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
* Self-Supervised Equivariant Learning for Oriented Keypoint Detection
* Self-Supervised Exclusive-Inclusive Interactive Learning for Multi-Label Facial Expression Recognition in the Wild
* Self-Supervised Face Image Manipulation by Conditioning GAN on Face Decomposition
* Self-Supervised Face Presentation Attack Detection with Dynamic Grayscale Snippets
* Self-Supervised Feature Augmentation for Large Image Object Detection
* Self-Supervised Feature Enhancement Networks for Small Object Detection in Noisy Images
* Self-Supervised Feature Extraction for 3D Axon Segmentation
* Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences
* Self-Supervised Feature Learning by Learning to Spot Artifacts
* Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis
* Self-Supervised Feature Learning with CRF Embedding for Hyperspectral Image Classification
* Self-Supervised Frontalization and Rotation GAN with Random Swap for Pose-Invariant Face Recognition
* Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification, A
* Self-supervised GAN for Unsupervised Few-shot Object Recognition, A
* Self-Supervised GANs via Auxiliary Rotation Loss
* Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps
* Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
* Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond
* Self-supervised Geometric Perception
* Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation with Reliable Voted Pseudo Labels
* Self-Supervised Graph Convolutional Network for Multi-View Clustering
* Self-Supervised Ground-Relative Pose Estimation
* Self-Supervised Ground-Roll Noise Attenuation Using Self-Labeling and Paired Data Synthesis
* Self-Supervised Human Depth Estimation From Monocular Videos
* Self-Supervised Human Detection and Segmentation via Background Inpainting
* Self-supervised Human Mesh Recovery with Cross-Representation Alignment
* Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
* Self-supervised image clustering from multiple incomplete views via constrastive complementary generation
* Self-Supervised Image Prior Learning with GMM from a Single Noisy Image
* Self-Supervised Image Representation Learning with Geometric Set Consistency
* Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering
* Self-supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach
* Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition
* Self-supervised Keypoint Correspondences for Multi-person Pose Estimation and Tracking in Videos
* Self-Supervised Keypoint Detection and Cross-Fusion Matching Networks for Multimodal Remote Sensing Image Registration
* Self-Supervised Keypoint Discovery in Behavioral Videos
* Self-supervised Knowledge Distillation Using Singular Value Decomposition
* Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks
* Self-Supervised Leaf Segmentation under Complex Lighting Conditions
* Self-Supervised Learning Across Domains
* Self-Supervised Learning Algorithm of Environment Recognition in Driving Vehicle
* Self-Supervised Learning Approach for Extracting China Physical Urban Boundaries Based on Multi-Source Data, A
* Self-supervised learning based on discriminative nonlinear features for image classification
* Self-Supervised Learning by Estimating Twin Class Distribution
* Self-supervised Learning for Astronomical Image Classification
* Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods
* Self-Supervised Learning for Docking and Target Reaching
* Self-Supervised Learning for Domain Adaptation on Point Clouds
* Self-Supervised Learning for Few-Shot Medical Image Segmentation
* Self-supervised Learning for Fine-grained Ethnicity Classification under Limited Labeled Data
* Self-supervised Learning for Next-Generation Industry-Level Autonomous Driving
* Self-Supervised Learning for Non-Rigid Registration Between Near-Isometric 3D Surfaces in Medical Imaging
* Self-Supervised Learning for Object Detection and Segmentation
* Self-Supervised Learning for Object Recognition based on Kernel Discriminant-EM Algorithm
* Self-supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
* Self-Supervised Learning for RGB-Guided Depth Enhancement by Exploiting the Dependency Between RGB and Depth
* Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives
* Self-Supervised Learning for Semi-Supervised Temporal Action Proposal
* Self-supervised Learning for Sonar Image Classification
* Self-Supervised Learning for Texture Classification Using Limited Labeled Data
* Self-Supervised Learning for Videos: A Survey
* Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry
* Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
* Self-supervised Learning of Audio-visual Objects from Video
* Self-Supervised Learning of Audio Representations From Permutations With Differentiable Ranking
* Self-Supervised Learning of Class Embeddings from Video
* Self-supervised Learning of Depth and Camera Motion from 360° Videos
* Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency
* Self-Supervised Learning of Depth and Pose Using Cycle Generative Adversarial Network
* Self-supervised Learning of Depth Inference for Multi-view Stereo
* Self-Supervised Learning of Detailed 3D Face Reconstruction
* Self-Supervised Learning of Domain Invariant Features for Depth Estimation
* Self-supervised learning of Dynamic Representations for Static Images
* Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
* Self-Supervised Learning of Graph Neural Networks: A Unified Review
* Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos
* Self-Supervised Learning of Local Features in 3D Point Clouds
* Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion
* Self-Supervised Learning of Object Parts for Semantic Segmentation
* Self-Supervised Learning of Optical Flow, Depth, Camera Pose and Rigidity Segmentation with Occlusion Handling
* Self-supervised Learning of Orc-Bert Augmentor for Recognizing Few-shot Oracle Characters
* Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression
* Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition
* Self-Supervised Learning of Point Clouds via Orientation Estimation
* Self-Supervised Learning of Pose-Informed Latents
* Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos
* Self-Supervised Learning of Pretext-Invariant Representations
* Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding
* Self-Supervised Learning of Scene Flow with Occlusion Handling Through Feature Masking
* Self-Supervised Learning of Video-Induced Visual Invariances
* Self-Supervised Learning of Video Representation for Anticipating Actions in Early Stage
* Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces
* Self-supervised Learning of Visual Graph Matching
* Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models
* Self-supervised Learning Through Colorization for Microscopy Images
* Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images
* Self-Supervised Learning via Conditional Motion Propagation
* Self-Supervised Learning via Multi-view Facial Rendezvous for 3D/4D Affect Recognition
* Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification
* Self-Supervised Learning With Data-Efficient Supervised Fine-Tuning for Crowd Counting
* Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
* Self-Supervised Learning with Graph Neural Networks for Region of Interest Retrieval in Histopathology
* Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation
* Self-Supervised Learning with Masked Image Modeling for Teeth Numbering, Detection of Dental Restorations, and Instance Segmentation in Dental Panoramic Radiographs
* Self-supervised Learning with Multi-view Rendering for 3d Point Cloud Analysis
* Self-Supervised Learning
* Self-supervised Learning: What Is Next?
* Self-Supervised Light Field Depth Estimation Using Epipolar Plane Images
* Self-Supervised Light Field Reconstruction Using Shearlet Transform and Cycle Consistency
* Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors
* Self-Supervised Low-Rank Representation (SSLRR) for Hyperspectral Image Classification
* Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
* Self-Supervised Matting-Specific Portrait Enhancement and Generation
* Self-Supervised Method for Infrared and Visible Image Fusion, A
* Self-Supervised Metric Learning Framework for the Arising-From-Chair Assessment of Parkinsonians With Graph Convolutional Networks, A
* Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
* Self-Supervised Models are Continual Learners
* Self-supervised Monocular 3D Face Reconstruction by Occlusion-aware Multi-view Geometry Consistency
* Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue
* Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation
* Self-supervised monocular depth estimation from oblique UAV videos
* Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adaptation
* Self-Supervised Monocular Depth Estimation Using Global and Local Mixed Multi-Scale Feature Enhancement Network for Low-Altitude UAV Remote Sensing
* Self-Supervised Monocular Depth Estimation With Multiscale Perception
* Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
* Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
* Self-Supervised Monocular Depth Hints
* Self-Supervised Monocular Depth Learning in Low-Texture Areas
* Self-Supervised Monocular Scene Decomposition and Depth Estimation
* Self-Supervised Monocular Scene Flow Estimation
* Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume
* Self-supervised Motion Learning from Static Images
* Self-supervised Motion Representation via Scattering Local Motion Cues
* Self-Supervised Moving Vehicle Tracking With Stereo Sound
* Self-Supervised Multi-Category Counting Networks for Automatic Check-Out
* Self-Supervised Multi-Frame Monocular Scene Flow
* Self-supervised multi-image super-resolution for push-frame satellite images
* Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz
* Self-supervised Multi-object Tracking with Cycle-consistency
* Self-supervised multi-scale pyramid fusion networks for realistic bokeh effect rendering
* Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment
* Self-supervised Multi-task Procedure Learning from Instructional Videos
* Self-Supervised Multi-View Person Association and its Applications
* Self-supervised Multi-view Synchronization Learning for 3d Pose Estimation
* Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation
* Self-Supervised Neural Aggregation Networks for Human Parsing
* Self-supervised Neural Articulated Shape and Appearance Models
* Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging
* Self-supervised non-rigid structure from motion with improved training of Wasserstein GANs
* Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
* Self-Supervised Object Detection and Retrieval Using Unlabeled Videos
* Self-supervised object detection from audio-visual correspondence
* Self-Supervised Object Detection via Generative Image Synthesis
* Self-supervised Object Motion and Depth Estimation from Video
* Self-supervised on-line cumulative learning from video streams
* Self-Supervised Online Metric Learning With Low Rank Constraint for Scene Categorization
* Self-Supervised Optical Flow Estimation by Projective Bootstrap
* Self-supervised Orientation-guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery
* Self-supervised Out-of-Distribution Detection with Dynamic Latent Scale GAN
* Self-supervised Outdoor Scene Relighting
* Self-supervised pain intensity estimation from facial videos via statistical spatiotemporal distillation
* Self-supervised part segmentation via motion imitation
* Self-Supervised Patch Localization for Cross-Domain Facial Action Unit Detection
* Self-Supervised Pillar Motion Learning for Autonomous Driving
* Self-Supervised Poisson-Gaussian Denoising
* Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery
* Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
* Self-Supervised Pre-Training with Bridge Neural Network for SAR-Optical Matching
* Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
* Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images
* Self-supervised Pretraining for 2d Medical Image Segmentation
* Self-Supervised Pretraining for Deep Hash-Based Image Retrieval
* Self-Supervised Pretraining Improves Self-Supervised Pretraining
* Self-Supervised Pretraining of 3D Features on any Point-Cloud
* Self-supervised Product Quantization for Deep Unsupervised Image Retrieval
* Self-supervised Prototype Conditional Few-Shot Object Detection
* Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond
* Self-Supervised Real-to-Sim Scene Generation
* Self-Supervised Relative Depth Learning for Urban Scene Understanding
* Self-supervised Relative Pose with Homography Model-fitting in the Loop
* Self-Supervised Remote Sensing Image Dehazing Network Based on Zero-Shot Learning
* Self-Supervised Representation Learning by Rotation Feature Decoupling
* Self-supervised representation learning for detection of ACL tear injury in knee MR videos
* Self-Supervised Representation Learning for Geographical Data: A Systematic Literature Review
* Self-Supervised Representation Learning for Remote Sensing Image Change Detection Based on Temporal Prediction
* Self-Supervised Representation Learning for Videos by Segmenting via Sampling Rate Order Prediction
* Self-Supervised Representation Learning from Flow Equivariance
* Self-Supervised Representation Learning From Multi-Domain Data
* Self-Supervised Representation Learning From Videos for Facial Action Unit Detection
* Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
* Self-Supervised Representation Learning via Neighborhood-Relational Encoding
* Self-Supervised Residual Feature Learning Model for Multifocus Image Fusion, A
* Self-Supervised Rigid Registration for Multimodal Retinal Images
* Self-supervised rigid transformation equivariance for accurate 3D point cloud registration
* Self-supervised road detection from a single image
* Self-Supervised Saliency Estimation for Pixel Embedding in Road Detection
* Self-Supervised Scene De-Occlusion
* Self-supervised Secondary Landmark Detection via 3D Representation Learning
* Self-supervised Segmentation by Grouping Optical-Flow
* Self-supervised semi-supervised nonnegative matrix factorization for data clustering
* Self-Supervised Shape Alignment for Sports Field Registration
* Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map
* Self-supervised Single-view 3d Reconstruction via Semantic Consistency
* Self-supervised Social Relation Representation for Human Group Detection
* Self-Supervised Solution for the Switch-Toggling Visual Task, A
* Self-supervised Sparse Representation for Video Anomaly Detection
* Self-supervised Sparse to Dense Motion Segmentation
* Self-supervised Spatial Reasoning on Multi-View Line Drawings
* Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
* Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction
* Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction
* Self-Supervised Spectral-Spatial Vision Transformer Network for Accurate Prediction of Wheat Nitrogen Status from UAV Imagery, The
* Self-supervised spectral clustering with exemplar constraints
* Self-Supervised Stereo Matching Method Based on SRWP and PCAM for Urban Satellite Images
* Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites
* Self-Supervised Symmetric Nonnegative Matrix Factorization
* Self-Supervised Synthesis Ranking for Deep Metric Learning
* Self-Supervised Test-Time Adaptation on Video Data
* Self-supervised texture segmentation using complementary types of features
* Self-supervised training for blind multi-frame video denoising
* Self-supervised Transfer Learning for Hand Mesh Recovery from Binocular Images
* Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut
* Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis
* Self-Supervised Variable Rate Image Compression using Visual Attention
* Self-Supervised Vessel Segmentation via Adversarial Learning
* Self-Supervised Video-Based Action Recognition With Disturbances
* Self-Supervised Video GANs: Learning for Appearance Consistency and Motion Coherency
* Self-supervised Video Hashing via Bidirectional Transformers
* Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder
* Self-supervised Video Object Segmentation by Motion Grouping
* Self-Supervised Video Pose Representation Learning for Occlusion- Robust Action Recognition
* Self-Supervised Video Representation Learning by Context and Motion Decoupling
* Self-supervised video representation learning by maximizing mutual information
* Self-supervised Video Representation Learning by Pace Prediction
* Self-Supervised Video Representation Learning by Uncovering Spatio-Temporal Statistics
* Self-Supervised Video Representation Learning Using Improved Instance-Wise Contrastive Learning and Deep Clustering
* Self-supervised Video Representation Learning with Cascade Positive Retrieval
* Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
* Self-Supervised Video Representation Learning with Meta-Contrastive Network
* Self-Supervised Video Representation Learning with Odd-One-Out Networks
* Self-supervised Video Transformer
* Self-Supervised Viewpoint Learning From Image Collections
* Self-Supervised Visibility Learning for Novel View Synthesis
* Self-supervised Vision Transformers for Land-cover Segmentation and Classification
* Self-supervised Visual-LiDAR Odometry with Flip Consistency
* Self-supervised Visual Attribute Learning for Fashion Compatibility
* Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
* Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
* self-supervised vowel recognition system, A
* Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy
* Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification
* Self-supervised writer adaptation using perceptive concepts: application to on-line text recognition
* Self-supervising Fine-grained Region Similarities for Large-scale Image Localization
* Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection
* Self-supervision and meta-learning for one-shot unsupervised cross-domain detection
* Self-Supervision and Self-Distillation with Multilayer Feature Contrast for Supervision Collapse in Few-Shot Remote Sensing Scene Classification
* Self-Supervision By Prediction for Object Discovery In Videos
* Self-Supervision Can Be a Good Few-Shot Learner
* Self-supervision versus synthetic datasets: Which is the lesser evil in the context of video denoising?
* Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation Without Annotation
* Self-Supervision. Remote Sensing and Abstraction: Representation Learning Across 3 Million Locations
* Self-support Few-Shot Semantic Segmentation
* Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
* self-synchronized chaotic image encryption scheme, A
* Self-Synchronized Syntax for Error-Resilient Video Coding
* Self-synchronizing watermarking scheme for an arbitrarily shaped object
* Self-Talk: Responses to Users' Opinions and Challenges in Human Computer Dialog
* Self-taught dimensionality reduction on the high-dimensional small-sized data
* Self-Taught Feature Learning for Hyperspectral Image Classification
* Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle
* Self-Taught Metric Learning without Labels
* Self-taught Multi-view Spectral Clustering
* Self-taught object localization with deep networks
* Self-Taught Visually-Guided Pointing for a Humanoid Robot
* Self-Timed ICT Chip for Image Coding, A
* Self-trainable System for Moving People Counting by Scene Partitioning, A
* Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection
* self-trained ensemble with semisupervised SVM: An application to pixel classification of remote sensing imagery, A
* Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions, A
* Self-trained prediction model and novel anomaly score mechanism for video anomaly detection
* Self-training-based face recognition using semi-supervised linear discriminant analysis and affinity propagation
* Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
* Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds, A
* Self-Training Approach for Visual Tracking and Recognition of Complex Human Activity Patterns, A
* Self-Training Classification Framework with Spatial-Contextual Information for Local Climate Zones
* Self-Training for Domain Adaptive Scene Text Detection
* Self-training for Handwritten Text Line Recognition
* Self-training Guided Adversarial Domain Adaptation For Thermal Imagery
* Self-Training Learning Document Binarization Framework, A
* Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels
* Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation
* self-training semi-supervised SVM algorithm and its application in an EEG-based brain computer interface speller system, A
* Self-training statistic snake for image segmentation and tracking
* Self-Training Strategy Based on Finite Element Method for Adaptive Bioluminescence Tomography Reconstruction
* Self-Training Vision Language BERTs With a Unified Conditional Model
* Self-Training Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis, A
* Self-Training With Noisy Student Improves ImageNet Classification
* Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification
* Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification
* Self-training with unlabeled regions for NBI image recognition
* Self-tuned deep super resolution
* Self-tuned Evolution-Constructed features for general object recognition
* Self-tuning density estimation based on Bayesian averaging of adaptive kernel density estimations yields state-of-the-art performance
* Self-tuning fast adaptive algorithm for impulsive noise suppression in color images
* Self-tuning People Identification System from Split Face Components, A
* Self-Updatable Database System Based on Human Motion Assessment Framework
* Self-updating Multiexpert System for Face Identification, A
* Self-Updating with Facial Trajectories for Video-to-Video Face Recognition
* Self-Validated and Spatially Coherent Clustering with Net-Structured MRF and Graph Cuts
* Self-Validated Labeling of Markov Random Fields for Image Segmentation
* Self-Weighted Adaptive Locality Discriminant Analysis
* Self-weighted learning framework for adaptive locality discriminant analysis
* Self-Weighting and Hypergraph Regularization for Multi-view Spectral Clustering
* Self-weighting multi-view spectral clustering based on nuclear norm
* Self adaptable high throughput reconfigurable bilateral filter architectures for real-time image de-noising
* Self Adaptable Recognizer for Document Image Collections
* Self adaptive animation based on user perspective
* Self and Channel Attention Network for Person Re-Identification
* Self Attention Based Semantic Segmentation on a Natural Disaster Dataset
* Self Calibrating Visual Sensor Networks
* Self Calibration and 3D Reconstruction from Lines with a Single Translating Camera
* Self Calibration of a Stereo Head Mounted onto a Robot Arm
* Self Calibration of Motion and Stereo Vision for Mobile Robot Navigation
* Self calibration of the stereo vision system of the Chang'e-3 lunar rover based on the bundle block adjustment
* Self co-articulation detection and trajectory guided recognition for dynamic hand gestures
* Self Correcting Projector, A
* Self Correcting Tracking for Articulated Objects
* Self Functional Maps
* Self Image Rectification for Uncalibrated Stereo Video with Varying Camera Motions and Zooming Effects
* Self lane assignment using egocentric smart mobile camera for intelligent GPS navigation
* Self Learning Classification for Degraded Document Images by Sparse Representation
* Self Learning Video Filters for Wavelet Coded Video Streams
* Self noise and contrast controlled thinning of gray images
* Self Occlusions and Graph Based Edge Measurement Schemes for Visual Tracking Applications
* Self Organizing and Fuzzy Modelling for Parked Vehicles Detection
* Self Organizing Hierarchical Classifier for Multilingual Large Set Oriental Character Recognition, A
* Self Organizing Motor Maps for Color-Mapped Image Re-Indexing
* Self Paced Deep Learning for Weakly Supervised Object Detection
* Self quotient image for face recognition
* Self Recalibration of a Structured Light Vision System from a Single View
* Self Recovery Authentication Of Images In The Dwt Domain
* Self Scaled Regularized Robust Regression
* Self shadowing and local illumination of randomly rough surfaces
* self stabilizing robust region finder applied to color and optical flow pictures, A
* Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence
* Self Supervised Scanpath Prediction Framework for Painting Images
* Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels, A
* Self Supervision for Attention Networks
* Self Supervision to Distillation for Long-Tailed Visual Recognition
* Self Texture Transfer Networks for Low Bitrate Image Compression
* SELF: A framework for generation of patterns
* Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image
* Self6d: Self-supervised Monocular 6d Object Pose Estimation
* SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning
* SelfD: Self-Learning Large-Scale Driving Policies From the Web
* SelfDoc: Self-Supervised Document Representation Learning
* Selfie Video Stabilization
* Selfish Colluder Detection and Identification in Traitors within Traitors
* SelFlow: Self-Supervised Learning of Optical Flow
* Selforganized Clustering of Mixture Models for Combined Color and Texture Segmentation
* SelfPose: 3D Egocentric Pose Estimation From a Headset Mounted Camera
* SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video
* SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
* SeLFVi: Self-supervised Light-Field Video Reconstruction from Stereo Video
* SeLibCV: A Service Library for Computer Vision Researchers
* Selimiye Mosque of Edirne, Turkey: An Immersive And Interactive Virtual Reality Experience Using Htc Vive, The
* SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints
* SELSH: A Hashing Scheme for Approximate Similarity Search with Early Stop Condition
* Sem-GAN: Semantically-Consistent Image-to-Image Translation
* SEM Algorithm and Unsupervised Segmentation of Satellite Images
* SEM Image Analysis for Quality Control of Nanoparticles
* SEM Image Quality Assessment Based on Texture Inpainting
* SEM resolution improvement using semi-blind restoration with hybrid L1-L2 regularization
* SEM/FIB stage calibration with photogrammetric methods
* Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields
* SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
* SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations between a Person and a Limited Agent, The
* Semantic-Aligned Attention With Refining Feature Embedding for Few-Shot Image Classification
* Semantic-aligned Fusion Transformer for One-shot Object Detection
* Semantic-aligned reinforced attention model for zero-shot learning
* Semantic-Analysis Object Recognition: Automatic Training Set Generation Using Textual Tags
* Semantic-associative visual content labelling and retrieval: A multimodal approach
* Semantic-Aware Auto-Encoders for Self-supervised Representation Learning
* Semantic-aware blind image quality assessment
* Semantic-Aware Co-Indexing for Image Retrieval
* Semantic-Aware Dehazing Network With Adaptive Feature Fusion
* Semantic-Aware Domain Generalized Segmentation
* Semantic-Aware Fine-Grained Correspondence
* Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation
* Semantic-Aware Informative Path Planning for Efficient Object Search Using Mobile Robot
* Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
* Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval
* Semantic-Aware Network for Aerial-To-Ground Image Synthesis
* Semantic-aware neural style transfer
* Semantic-Aware Noise Driven Portrait Synthesis and Manipulation
* Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification
* Semantic-aware scene recognition
* Semantic-aware self-supervised depth estimation for stereo 3D detection
* Semantic-aware spatial regularization correlation filter for visual tracking
* Semantic-aware unsupervised domain adaptation for height estimation from single-view aerial images
* Semantic-Aware Video Text Detection
* Semantic-aware visual attributes learning for zero-shot recognition
* Semantic-Aware Visual Decomposition for Image Coding
* Semantic-Based Brain MRI Image Segmentation Using Convolutional Neural Network
* Semantic-based conditional generative adversarial hashing with pairwise labels
* Semantic-Based Image Analysis with the Goal of Assisting Artistic Creation
* Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling
* Semantic-Based Location Recommendation With Multimodal Venue Semantics
* semantic-based probabilistic approach for real-time video event recognition, A
* Semantic-based pruning of redundant and uninteresting frequent geographic patterns
* Semantic-Based Segmentation and Annotation of 3D Models
* Semantic-Based Sentence Recognition in Images Using Bimodal Deep Learning
* Semantic-Based Surveillance Video Retrieval
* Semantic-Based System for Querying Personal Digital Libraries, A
* Semantic-based traffic video retrieval using activity pattern analysis
* Semantic-Compensated and Attention-Guided Network for Scene Text Detection
* Semantic-Context-Based Augmented Descriptor for Image Feature Matching
* Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval
* Semantic-Edge-Supervised Single-Stage Detector for Oriented Object Detection in Remote Sensing Imagery
* Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
* Semantic-embedding Guided Graph Network for cross-modal retrieval
* Semantic-Free Approach to 3-D Robot Color Vision, A
* Semantic-free attributes for image classification
* Semantic-Friendly Indexing and Quering of Images Based on the Extraction of the Objective Semantic Cues
* Semantic-Fusion GANs for Semi-Supervised Satellite Image Classification
* Semantic-Gap-Oriented Active Learning for Multilabel Image Annotation
* Semantic-Geographic Trajectory Pattern Mining Based on a New Similarity Measurement
* semantic-guided and self-configurable framework for video analysis, A
* Semantic-Guided Attention Refinement Network for Salient Object Detection in Optical Remote Sensing Images
* Semantic-Guided Class-Imbalance Learning Model for Zero-Shot Image Classification
* Semantic-guided de-attention with sharpened triplet marginal loss for visual place recognition
* Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation
* Semantic-Guided Multi-mask Image Harmonization
* Semantic-Guided Pixel Sampling for Cloth-Changing Person Re-Identification
* Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement
* Semantic-Improved Color Imaging Applications: It Is All About Context
* Semantic-level Understanding of Human Actions and Interactions using Event Hierarchy
* Semantic-Linked Data Ontologies for Indoor Navigation System in Response to COVID-19
* Semantic-meshed and content-guided transformer for image captioning
* Semantic-only Visual Odometry based on dense class-level segmentation
* Semantic-Oriented Labeled-to-Unlabeled Distribution Translation for Image Segmentation
* Semantic-Preserving Deep Hashing Model for Multi-Label Remote Sensing Image Retrieval, A
* Semantic-Preserving Image Compression
* Semantic-Preserving Metric Learning for Video-Text Retrieval
* Semantic-refined spatial pyramid network for crowd counting
* Semantic-Rich Facial Emotional Expression Recognition
* Semantic-Sensitive Satellite Image Retrieval
* Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis
* Semantic-Shift for Unsupervised Object Detection
* Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization
* Semantic-Supervised Infrared and Visible Image Fusion Via a Dual-Discriminator Generative Adversarial Network
* Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
* Semantic-visual concept relatedness and co-occurrences for image retrieval
* Semantic 3D CAD and Its Applications in Construction Industry: An Outlook of Construction Data Visualization
* Semantic 3D indoor scene enhancement using guide words
* Semantic 3D Modeling Based on CityGML for Ancient Chinese-Style Architectural Roofs of Digital Heritage
* Semantic 3D Object Maps for Everyday Robot Manipulation
* Semantic 3D Object Maps for Everyday Robotic Retail Inspection
* Semantic 3d Point Cloud Segmentation Approach Based On Optimal View Selection for 2d Image Feature Extraction, A
* Semantic 3D Reconstruction of Heads
* Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint
* Semantic Access of Frontal Face Images: The Expression-Invariant Problem
* Semantic action recognition by learning a pose lexicon
* Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
* Semantic Adversarial Examples
* Semantic agents for content-based discovery in distributed image libraries
* Semantic Alignment for Multi-Item Compression
* Semantic alignment of LiDAR data at city scale
* Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection
* Semantic Amodal Segmentation
* Semantic Analysis and Understanding of Human Behavior in Video Streaming
* Semantic Analysis for Automatic Event Recognition and Segmentation of Wedding Ceremony Videos
* Semantic Analysis of Cultural Heritage Data: Aligning Paintings and Descriptions in Art-historic Collections
* Semantic analysis of human visual attention in mobile eye tracking applications
* Semantic analysis of matrix structures
* Semantic Analysis on Medical Images: A Case Study
* Semantic and cognition based image retrieval
* Semantic and context features integration for robust object tracking
* Semantic and edge-based visual odometry by joint minimizing semantic and edge distance error
* semantic and language-based representation of an environmental scene, A
* Semantic and Morphological Information Guided Chinese Text Classification
* Semantic and Relation Modulation for Audio-Visual Event Localization
* Semantic Annotation Architecture for Accessible Multimedia Resources
* Semantic annotation for complex video street views based on 2D-3D multi-feature fusion and aggregated boosting decision forests
* Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning
* Semantic Annotation of Image Groups with Self-organizing Maps
* Semantic Annotation of Maps Through Knowledge Provenance
* Semantic annotation of personal video content using an image folksonomy
* Semantic Annotation of Satellite Images Using Author-Genre-Topic Model
* Semantic annotation of soccer videos: Automatic highlights identification
* Semantic annotation of surveillance videos for abnormal crowd behaviour search and analysis
* Semantic Annotations on Heritage Models: 2d/3d Approaches and Future Research Challenges
* semantic approach for question classification using WordNet and Wikipedia, A
* Semantic Approach in Image Change Detection
* Semantic approach to 3D historical reconstruction
* Semantic assessment of shopping behavior using trajectories, shopping related actions, and context information
* Semantic Attribute Enriched Storytelling from a Sequence of Images
* Semantic Attribute Matching Networks
* Semantic Audio-Visual Navigation
* Semantic Autoencoder for Zero-Shot Learning
* Semantic Aware Attention Based Deep Object Co-segmentation
* Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images with Artificial Neural Networks
* Semantic Aware Video Transcription Using Random Forest Classifiers
* Semantic Awareness for Automatic Image Interpretation
* Semantic background subtraction
* Semantic Based Background Music Recommendation for Home Videos
* Semantic based categorization, browsing and retrieval in medical image databases
* Semantic Bilinear Pooling for Fine-Grained Recognition
* Semantic Binary Segmentation Using Convolutional Networks without Decoders
* Semantic Boosting: Enhancing Deep Learning Based LULC Classification
* Semantic Bottleneck for Computer Vision Tasks
* Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
* Semantic Boundaries Dataset and Benchmark
* Semantic Boundary Detection With Reinforcement Learning for Continuous Sign Language Recognition
* Semantic boundary refinement by joint inference from edges and regions
* Semantic Browsing and Retrieval in Image Libraries
* Semantic Cameras for 360-Degree Environment Perception in Automated Urban Driving
* Semantic Channels for Fast Pedestrian Detection
* Semantic Classification and Composite Indexing Approach to Robust Image Retrieval, A
* Semantic classification by covariance descriptors within a randomized forest
* Semantic Classification in Aerial Imagery by Integrating Appearance and Height Information
* Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods
* Semantic Classification of Boundaries of an RGBD Image
* Semantic classification of movie scenes using finite state machines
* Semantic Classification of Sandstone Landscape Point Cloud Based On Neighbourhood Features
* Semantic classification of urban buildings combining VHR image and GIS data: An improved random forest approach
* Semantic Cluster Unary Loss for Efficient Deep Hashing
* Semantic clustering based deduction learning for image recognition and classification
* Semantic clustering for region-based image retrieval
* Semantic Clustering for Robust Fine-Grained Scene Recognition
* Semantic clusters based manifold ranking for image retrieval
* Semantic Co-segmentation in Videos
* Semantic combination of textual and visual information in multimedia retrieval
* Semantic combined network for zero-shot scene parsing
* Semantic Component Analysis
* Semantic Component Decomposition for Face Attribute Manipulation
* Semantic Compositional Networks for Visual Captioning
* Semantic Concentration for Domain Adaptation
* Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines
* Semantic Concept Co-Occurrence Patterns for Image Annotation and Retrieval
* Semantic Concept Detection Using Dense Codeword Motion
* Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA
* Semantic Conditional Random Field for Object Based SAR Image Segmentation
* Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
* Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification
* Semantic consistency cross-modal dictionary learning with rank constraint
* Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning
* Semantic content-based image retrieval: A comprehensive study
* semantic content based recommendation system for cross-lingual news, A
* Semantic context-aware attention UNET for lung cancer segmentation and classification
* Semantic Context-Aware Image Style Transfer
* Semantic context and depth-aware object proposal generation
* Semantic Context Detection Using Audio Event Fusion
* Semantic Context Encoding for Accurate 3D Point Cloud Segmentation
* Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images
* Semantic context modeling with maximal margin Conditional Random Fields for automatic image annotation
* semantic contour based segmentation of lungs from chest x-rays for the classification of tuberculosis using Naïve Bayes classifier, A
* Semantic contours from inverse detectors
* Semantic Contrastive Embedding for Generalized Zero-Shot Learning
* Semantic convex matrix factorisation for cross-media retrieval
* Semantic Correlation Mining between Images and Texts with Global Semantics and Local Mapping
* Semantic Correlation Promoted Shape-Variant Context for Segmentation
* Semantic Correspondence as an Optimal Transport Problem
* Semantic Correspondence in the Wild
* Semantic Correspondence, Semantic Alignment
* Semantic Cross-View Matching
* Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition
* Semantic Curiosity for Active Visual Learning
* Semantic Decomposition and Recognition of Long and Complex Manipulation Action Sequences
* Semantic Decomposition and Reconstruction of Compound Buildings with Symmetric Roofs from LiDAR Data and Aerial Imagery
* Semantic Decomposition Network With Contrastive and Structural Constraints for Dental Plaque Segmentation
* Semantic Deep Face Models
* Semantic Depth Map Fusion for Moving Vehicle Detection in Aerial Video
* Semantic Description of Aerial Images Using Stochastic Labeling
* Semantic Description of Medical Image Findings: Structured Learning approach
* Semantic Discriminative Metric Learning for Image Similarity Measurement
* Semantic Diversity Learning for Zero-Shot Multi-label Classification
* Semantic Drift Compensation for Class-Incremental Learning
* Semantic Edge Detection with Diverse Deep Supervision
* Semantic embedding space for zero-shot action recognition
* Semantic Encoding Out-of-Distribution Classifier for Generalized Zero-Shot Learning, A
* Semantic Enhancement of Human Urban Activity Chain Construction Using Mobile Phone Signaling Data
* Semantic Enrichment of Point Cloud By Automatic Extraction And Enhancement of 360° Panoramas
* Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering
* Semantic Event-Detection Approach and Its Application to Detecting Hunts in Wildlife Video, A
* Semantic Event Detection and Classification in Cricket Video Sequence
* Semantic Event Detection in Sports Through Motion Understanding
* Semantic Event Detection in Structured Video Using Hybrid HMM/SVM
* Semantic Event Detection using Conditional Random Fields
* Semantic Event Fusion of Different Visual Modality Concepts for Activity Recognition
* Semantic event representation and recognition using syntactic attribute graph grammar
* Semantic Example Guided Image-to-Image Translation
* Semantic Expansion Model for VGI Retrieval, A
* Semantic Extraction and Object Proposal for Video Search
* Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes
* Semantic Facets: An In-Depth Analysis of a Semantic Image Retrieval System
* Semantic feature-constrained multitask siamese network for building change detection in high-spatial-resolution remote sensing imagery
* Semantic feature based registration of terrestrial point clouds
* Semantic Feature Extraction Based on Video Abstraction and Temporal Modeling
* Semantic feature extraction for accurate eye corner detection
* Semantic feature extraction using genetic programming in image retrieval
* Semantic film preview classification using low-level computable features
* Semantic filtering for video stabilization
* Semantic Filtering
* Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes
* Semantic Flow for Fast and Accurate Scene Parsing
* Semantic Foggy Scene Understanding with Synthetic Data
* semantic framework for the retrieval of similar radiological images based on medical annotations, A
* semantic framework for video genre classification and event analysis, A
* semantic fusion based approach for express bill detection in complex scenes, A
* Semantic fusion of laser and vision in pedestrian detection
* Semantic Geometric Modelling of Unstructured Indoor Point Cloud
* Semantic granularity metric learning for visual search
* Semantic graph and arc consistency in true three dimensional image labelling
* Semantic Graph Attention With Explicit Anatomical Association Modeling for Tooth Segmentation From CBCT Images
* Semantic Graph Convolutional Networks for 3D Human Pose Regression
* Semantic Graph of Traffic Scenes for Intelligent Vehicle Systems, A
* Semantic grouping of visual features
* Semantic Guided Deep Unsupervised Image Segmentation
* Semantic guided knowledge graph for large-scale zero-shot learning
* Semantic Guided Latent Parts Embedding for Few-Shot Learning
* Semantic Guided Long Range Stereo Depth Estimation for Safer Autonomous Vehicle Applications
* Semantic hierarchies for image annotation: A survey
* Semantic Hierarchies for Recognizing Objects and Parts
* Semantic Hierarchies for Visual Object Recognition
* Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
* Semantic Hierarchy Preserving Deep Hashing for Large-Scale Image Retrieval
* Semantic Highlight Retrieval and Term Prediction
* Semantic highlight retrieval
* Semantic Home Photo Categorization
* Semantic Hough Transform based object detection with Partial Least Squares
* semantic HTML based approach for geosensor media, A
* Semantic human activity recognition: A literature review
* Semantic Identification: Balancing between Complexity and Validity
* Semantic Image Analysis Based on the Representation of the Spatial Relations Between Objects in Images
* Semantic Image and Video Indexing in Broad Domains
* Semantic image classification by genetic algorithm using optimised fuzzy system based on Zernike moments
* Semantic Image Classification using Consistent Regions and Individual Context
* Semantic image compression based on data hiding
* Semantic image content filtering via edge-preserving scale-aware filter
* Semantic Image Inpainting with Deep Generative Models
* Semantic Image Labelling as a Label Puzzle Game
* Semantic Image Manipulation Using Scene Graphs
* Semantic Image Matting
* Semantic Image Networks for Human Action Recognition
* Semantic Image Retrieval Using Region Based Inverted File
* Semantic Image Retrieval with HSV Correlograms
* Semantic Image Segmentation and Object Labeling
* Semantic Image Segmentation Based Cable Vibration Frequency Visual Monitoring Using Modified Convolutional Neural Network with Pixel-wise Weighting Strategy
* Semantic image segmentation based on spatial relationships and inexact graph matching
* Semantic Image Segmentation by Scale-Adaptive Networks
* Semantic image segmentation using an improved hierarchical graphical model
* Semantic image segmentation using morphological tools
* Semantic image segmentation using region bank
* Semantic image segmentation using the ICM algorithm
* Semantic Image Segmentation Using Visible and Near-Infrared Channels
* Semantic Image Segmentation via Deep Parsing Network
* Semantic Image Segmentation with Contextual Hierarchical Models
* Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
* Semantic Image Segmentation: Two Decades of Research
* Semantic Image Synthesis via Adversarial Learning
* Semantic Image Synthesis via Conditional Cycle-Generative Adversarial Networks
* Semantic Image Synthesis With Spatially-Adaptive Normalization
* Semantic Implicit Neural Scene Representations With Semi-Supervised Training
* Semantic indexing and retrieval of video
* Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues
* Semantic indexing of soccer audio-visual sequences: A multimodal approach based on controlled Markov chains
* Semantic indexing of sports program sequences by audio-visual analysis
* Semantic indoor maps
* Semantic Information Oriented No-Reference Video Quality Assessment
* Semantic Injection Infrared and Visible Image Fusion Via a Disentangled Representation Network
* Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
* Semantic Instance Labeling Leveraging Hierarchical Segmentation
* Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation
* Semantic Instance Segmentation for Autonomous Driving
* Semantic Integration of Heterogeneous Recognition Systems
* Semantic Integration of Information Through Relation Mining: Application to Bio-medical Text Processing
* Semantic Integration of Raster Data for Earth Observation on Territorial Units
* Semantic Integration of Raster Data for Earth Observation: An RDF Dataset of Territorial Unit Versions with their Land Cover
* Semantic Intensity: Objects Contributions Towards Image Annotation
* Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model
* Semantic Interpretation of 3-D Stereo Data: Finding the Main Structures
* Semantic Interpretation of Heart Vessel Structures Based on Graph Grammars
* Semantic Interpretation of INSAR Estimates Using Optical Images with Application to Urban Infrastructure Monitoring
* Semantic Interpretation of Mobile Laser Scanner Point Clouds in Indoor Scenes Using Trajectories
* Semantic interpretation of object activities in a surveillance system
* Semantic Interpretation of Remote Sensing Data
* Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images
* Semantic Kernel Learning for Interactive Image Retrieval
* Semantic keyword extraction via adaptive text binarization of unstructured unsourced video
* Semantic Knowledge Discovery Framework for Detecting Online Terrorist Networks, A
* Semantic Label and Structure Model based Approach for Entity Recognition in Database Context
* Semantic Label Sharing for Learning with Many Categories
* Semantic Labeling Based Vehicle Detection in Aerial Imagery
* Semantic labeling for improved vehicle detection in aerial imagery
* Semantic labeling for prosthetic vision
* semantic labeling framework for ALS point clouds based on discretization and CNN, A
* Semantic Labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise Atrous Convolution
* Semantic labeling in very high resolution images via a self-cascaded convolutional neural network
* Semantic Labeling of Als Point Clouds for Tree Species Mapping Using The Deep Neural Network Pointnet++
* Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network
* Semantic labeling of images combining color, texture and keywords
* Semantic labeling of LIDAR point clouds for UAV applications
* Semantic Labeling of Mobile LiDAR Point Clouds via Active Learning and Higher Order MRF
* Semantic labeling of track events using time series segmentation and shape analysis
* Semantic Layout Manipulation with High-Resolution Sparse Attention
* Semantic Learning Applications in Multimedia
* Semantic Learning for Audio Applications: A Computer Vision Approach
* Semantic Line Detection and Its Applications
* Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching
* Semantic line framework-based indoor building modeling using backpacked laser scanning point cloud
* Semantic Location Extraction From Crowdsourced Data
* Semantic Logging: Towards Explanation-Aware DAS
* Semantic loop closure detection based on graph matching in multi-objects scenes
* Semantic manifold modularization-based ranking for image recommendation
* Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS
* Semantic Map Generation from Satellite Images for Humanitarian Scenarios Applications
* Semantic mapping for mobile outdoor robots
* Semantic Mapping of Large-Scale Outdoor Scenes for Autonomous Off-Road Driving
* Semantic Match Consistency for Long-Term Visual Localization
* Semantic Matching by Weakly Supervised 2D Point Set Registration
* Semantic meaning modulates object importance in human fixation prediction
* Semantic Metric 3D Reconstruction for Concrete Inspection
* Semantic Modalities in Content-Based Retrieval
* Semantic Model To Define Indoor Space In Context Of Emergency Evacuation, A
* Semantic Model Vectors for Complex Video Event Recognition
* Semantic Modeling for the Acquisition of Topographic Information from Images and Maps
* Semantic modeling of natural scenes based on contextual Bayesian networks
* Semantic modeling of natural scenes by local binary pattern
* Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
* Semantic Modelling for Behaviour Characterisation and Threat Detection
* Semantic Modelling Framework-Based Method for Building Reconstruction from Point Clouds, A
* Semantic Modelling of Man-Made Objects by Production Nets
* Semantic Modelling of Ship Behavior in Harbor Based on Ontology and Dynamic Bayesian Network
* Semantic mosaic for indexing and compressing instructional videos
* Semantic Motion Signature for Segmentation of High Speed Large Displacement Objects
* Semantic Multi-body Motion Segmentation
* Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels
* Semantic Music Annotation by Label-Specific Conditional Random Fields
* Semantic Mutex Watershed for Efficient Bottom-up Semantic Instance Segmentation, The
* Semantic Navigation Model for Video Games, A
* Semantic Neighbor Graph Hashing for Multimodal Retrieval
* Semantic Neighborhood-Aware Deep Facial Expression Recognition
* Semantic Network Array Processor and Its Applications to Image Understanding
* Semantic Network Interpretation
* Semantic Networks for Understanding Scenes
* Semantic Nighttime Image Segmentation Via Illumination and Position Aware Domain Adaptation
* semantic no-reference image sharpness metric based on top-down and bottom-up saliency map modeling, A
* Semantic Novelty Detection via Relational Reasoning
* Semantic Object Accuracy for Generative Text-to-Image Synthesis
* Semantic object classes in video: A high-definition ground truth database
* Semantic Object Detection, 3D, Depth
* Semantic Object Parsing with Graph LSTM
* Semantic Object Parsing with Local-Global Long Short-Term Memory
* Semantic Object Prediction and Spatial Sound Super-resolution with Binaural Sounds
* Semantic object segmentation by a spatio-temporal MRF model
* Semantic Object Segmentation in Cultural Sites using Real and Synthetic Data
* Semantic Object Segmentation in Tagged Videos via Detection
* Semantic object segmentation via detection in weakly labeled video
* Semantic Object Selection
* Semantic Objects and Context for Finding Roads
* semantic occlusion model for human pose estimation from a single depth image, A
* Semantic orchestration of image processing services for environmental analysis
* Semantic Organ Segmentation in 3D Whole-Body MR Images
* Semantic Organization of Scenes using Discriminant Structural Templates
* Semantic Oriented Text Clustering Based on RDF
* Semantic Palette: Guiding Scene Generation with Class Proportions
* Semantic Parsing of Interpage Relations
* Semantic Parsing of Street Scene Images Using 3D LiDAR Point Cloud
* Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data
* Semantic part segmentation using compositional model combining shape and appearance
* Semantic parts based top-down pyramid for action recognition
* Semantic Path Planning for Indoor Navigation Tasks Using Multi-View Context and Prior Knowledge
* Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing, The
* Semantic Perceptual Image Compression With a Laplacian Pyramid of Convolutional Networks
* Semantic Perturbations with Normalizing Flows for Improved Generalization
* Semantic Photogrammetry: Boosting Image-based 3D Reconstruction With Semantic Labeling
* Semantic Pixel Distances for Image Editing
* Semantic Pixel Sets Based Local Binary Patterns for Face Recognition
* Semantic Place Prediction With User Attribute in Social Media
* Semantic Place Understanding for Human-Robot Coexistence: Toward Intelligent Workplaces
* Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers
* Semantic Point Cloud Upsampling
* Semantic Pooling for Complex Event Analysis in Untrimmed Videos
* Semantic pooling for image categorization using multiple kernel learning
* Semantic Pose Using Deep Networks Trained on Synthetic RGB-D
* Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive Learning
* Semantic Preserving Generative Adversarial Network for Cross-Modal Hashing
* Semantic Preserving Hash Coding Through VAE-GAN
* Semantic prior-driven fused contextual transformation network for image inpainting
* Semantic Prior Analysis for Salient Object Detection
* Semantic Probability Distribution Modeling for Diverse Semantic Image Synthesis
* Semantic Profiles for Easing SensorML Description: Review and Proposal
* Semantic Projection Network for Zero- and Few-Label Semantic Segmentation
* Semantic Proximity Based System of Arabic Text Indexation, A
* Semantic Pyramid for Image Generation
* Semantic Pyramids for Gender and Action Recognition
* Semantic Reasoning for Scene Interpretation
* Semantic Registry Method Using Sensor Metadata Ontology to Manage Heterogeneous Sensor Information in the Geospatial Sensor Web, A
* Semantic Regularisation for Recurrent Image Annotation
* Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis
* Semantic Relation between Words with the Web as Information Source
* Semantic Relation Model and Dataset for Remote Sensing Scene Understanding
* Semantic Relation Preserving Knowledge Distillation for Image-to-image Translation
* Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
* Semantic Representation and Attention Alignment for Graph Information Bottleneck in Video Summarization
* Semantic Representation and Enrichment of Cultural Heritage Information for Fostering Reinterpretation and Reflection on the European History
* Semantic Representation and Recognition of Continued and Recursive Human Activities
* semantic representation for image retrieval, A
* Semantic Representation of Geospatial Objects Using Multiples Knowledge Domains
* Semantic retrieval by spatial relationships
* Semantic retrieval of events from indoor surveillance video databases
* Semantic Retrieval of Trademarks Based on Conceptual Similarity
* Semantic Retrieval System in Remote Sensing Web Platforms, A
* Semantic rich ICM algorithm for VHR satellite images segmentation
* Semantic Road Model for Aerial Image Interpretation, A
* Semantic Road Scene Knowledge for Robust Self-calibration Of Environment-observing Vehicle Cameras
* Semantic Road Segmentation via Multi-scale Ensembles of Learned Features
* Semantic role-based representations in text classification
* Semantic Role Aware Correlation Transformer for Text To Video Retrieval
* Semantic Room Wireframe Detection from a Single View
* Semantic saliency using k-TR theory of visual perception
* Semantic Scene Classification for Image Annotation and Retrieval
* Semantic Scene Classification with Generalized Gaussian Mixture Models
* Semantic Scene Completion from a Single Depth Image
* Semantic Scene Completion Using Local Deep Implicit Functions on LiDAR Data
* Semantic Scene Completion via Integrating Instances and Scene in-the-Loop
* Semantic Scene Labeling via Deep Nested Level Set
* Semantic Scene Models for Visual Localization under Large Viewpoint Changes
* Semantic scene segmentation in unstructured environment with modified DeepLabV3+
* Semantic Scene Segmentation using Random Multinomial Logit
* Semantic Scene Understanding for the Autonomous Platform
* Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data
* Semantic segmentation-based parking space detection with standalone around view monitoring system
* Semantic Segmentation (U-Net) of Archaeological Features in Airborne Laser Scanning: Example of the Bialowieza Forest
* Semantic Segmentation and 3D Reconstruction of Concrete Cracks
* Semantic Segmentation and Analysis on Sensitive Parameters of Forest Fire Smoke Using Smoke-Unet and Landsat-8 Imagery
* Semantic Segmentation and Change Detection By Multi-Task U-Net
* Semantic Segmentation and Edge Detection: Approach to Road Detection in Very High Resolution Satellite Images
* Semantic Segmentation and Object Recognition Using Scene-Context Scale
* Semantic segmentation as image representation for scene recognition
* Semantic Segmentation Based Building Extraction Method Using Multi-source GIS Map Datasets and Satellite Imagery
* Semantic segmentation based on iterative contraction and merging
* Semantic Segmentation Based Traffic Light Detection at Day and at Night
* Semantic Segmentation by Early Region Proxy
* Semantic Segmentation by Integrating Classifiers for Different Difficulty Levels
* Semantic Segmentation Deep Learning for Extracting Surface Mine Extents from Historic Topographic Maps
* Semantic Segmentation for Building FaÇade 3d Point Cloud From 2d Orthophoto Images Using Transfer Learning
* Semantic Segmentation for Buildings of Large Intra-Class Variation in Remote Sensing Images with O-GAN
* Semantic Segmentation for Digital Archives of Borobudur Reliefs Based on Soft-Edge Enhanced Deep Learning
* Semantic Segmentation for Free Space and Lane Based on Grid-Based Interest Point Detection
* Semantic Segmentation for Pedestrian Detection from Motion in Temporal Domain
* Semantic Segmentation for Real-World Data by Jointly Exploiting Supervised andxs Transferrable Knowledge
* Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
* Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels
* Semantic Segmentation for Thermal Images: A Comparative Survey
* Semantic Segmentation Framework for Hyperspectral Imagery Based on Tucker Decomposition and 3DCNN Tested with Simulated Noisy Scenarios, A
* Semantic segmentation from remote sensor data and the exploitation of latent learning for classification of auxiliary tasks
* Semantic Segmentation Guided Coarse-to-Fine Detection of Individual Trees from MLS Point Clouds Based on Treetop Points Extraction and Radius Expansion
* Semantic Segmentation Guided Pixel Fusion for Image Retargeting
* Semantic Segmentation Guided Real-World Super-Resolution
* Semantic Segmentation in Aerial Imagery Using Multi-level Contrastive Learning with Local Consistency
* Semantic Segmentation in Depth Data: A Comparative Evaluation of Image and Point Cloud Based Methods
* Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral-Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China
* Semantic segmentation of 3D indoor LiDAR point clouds through feature pyramid architecture search
* Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-Supervised Learning
* Semantic Segmentation of 3D Point Cloud Based on Spatial Eight-Quadrant Kernel Convolution
* Semantic Segmentation of 3D Point Clouds Based on High Precision Range Search Network
* Semantic segmentation of 3D textured meshes for urban scene analysis
* Semantic Segmentation of Aerial Imagery via Split-Attention Networks with Disentangled Nonlocal and Edge Supervision
* Semantic Segmentation of Airborne Images and Corresponding Digital Surface Models - Additional Input Data Or Additional Task?
* Semantic Segmentation of Airborne LiDAR Data in Maya Archaeology
* Semantic Segmentation of Benthic Communities from Ortho-mosaic Maps
* Semantic Segmentation of Breast Ultrasound Image with Pyramid Fuzzy Uncertainty Reduction and Direction Connectedness Feature
* Semantic Segmentation of Building in Airborne Images
* Semantic Segmentation of Burned Areas In Satellite Images Using A U-net-based Convolutional Neural Network
* Semantic Segmentation of China's Coastal Wetlands Based on Sentinel-2 and Segformer
* Semantic Segmentation of Color Eye Images for Improving Iris Segmentation
* Semantic Segmentation of Degraded Images Using Layer-Wise Feature Adjustor
* Semantic Segmentation of Diabetic Foot Ulcer Images: Dealing with Small Dataset in Dl Approaches
* Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
* Semantic Segmentation of Fashion Images Using Feature Pyramid Networks
* Semantic Segmentation of Fisheye Images
* Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery
* Semantic Segmentation of High-Resolution Airborne Images with Dual-Stream DeepLabV3+
* Semantic Segmentation of High-Resolution Remote Sensing Images Based on Sparse Self-Attention and Feature Alignment
* Semantic segmentation of images exploiting DCT based features and random forest
* Semantic Segmentation of Indoor 3d Point Cloud With Slenet
* Semantic Segmentation of Large-Scale Outdoor Point Clouds by Encoder-Decoder Shared MLPs with Multiple Losses
* Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture
* Semantic Segmentation of Low Frame-Rate Image Sequence Using Statistical Properties of Optical Flow for Remote Exploration
* Semantic Segmentation of Mesoscale Eddies in the Arabian Sea: A Deep Learning Approach
* Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning
* Semantic Segmentation of Microscopic Images Using a Morphological Hierarchy
* Semantic Segmentation of Mobile Laser Scanning Point Clouds with Long Short-term Memory Networks: Preliminary Results
* Semantic segmentation of mobile mapping point clouds via multi-view label transfer
* Semantic segmentation of modular furniture
* Semantic Segmentation of Multispectral Images via Linear Compression of Bands: An Experiment Using RIT-18
* Semantic Segmentation of Outdoor Areas Using 3D Moment Invariants and Contextual Cues
* Semantic Segmentation of Panoramic Images for Real-Time Parking Slot Detection
* Semantic Segmentation of Polarimetric SAR Image Based on Dual-Channel Multi-Size Fully Connected Convolutional Conditional Random Field
* Semantic Segmentation of Remote-Sensing Imagery Using Heterogeneous Big Data: International Society for Photogrammetry and Remote Sensing Potsdam and Cityscape Datasets
* Semantic Segmentation of Remote Sensing Imagery Using an Object-Based Markov Random Field Model With Auxiliary Label Fields
* Semantic Segmentation of Remote Sensing Imagery Using Object-based Markov Random Field Based on Hierarchical Segmentation Tree With Auxiliary Labels
* Semantic segmentation of remote sensing ship image via a convolutional neural networks model
* Semantic Segmentation of RGB-D Images Using 3D and Local Neighbouring Features
* Semantic segmentation of RGBD images based on deep depth regression
* Semantic Segmentation of RGBD Images with Mutex Constraints
* Semantic Segmentation of RGBD Videos with Recurrent Fully Convolutional Neural Networks
* Semantic segmentation of road furniture in mobile laser scanning data
* Semantic Segmentation of Satellite Images: A Deep Learning Approach Integrated with Geospatial Hash Codes
* Semantic Segmentation of Sentinel-2 Imagery for Mapping Irrigation Center Pivots
* Semantic Segmentation of Sheep Organs by Convolutional Neural Networks
* Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders
* Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks
* Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks
* Semantic Segmentation of Sparsely Annotated 3D Point Clouds by Pseudo-Labelling
* Semantic segmentation of street scenes by superpixel co-occurrence and 3D geometry
* Semantic Segmentation of Terrestrial Lidar Data Using Co-registered RGB Data
* Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning
* Semantic segmentation of urban building surface materials using multi-scale contextual attention network
* Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network
* Semantic Segmentation of Urban Buildings Using a High-Resolution Network (HRNet) with Channel and Spatial Attention Gates
* Semantic segmentation of urban scenes by learning local class interactions
* Semantic Segmentation of Urban Scenes Using Dense Depth Maps
* Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning
* Semantic Segmentation of Water Bodies in Multi-spectral Satellite Images for Situational Awareness in Emergency Response
* Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning
* Semantic segmentation on Swiss3DCities: A benchmark study on aerial photogrammetric 3D pointcloud dataset
* Semantic Segmentation Post-processing with Colorized Pairwise Potentials and Deep Edges
* Semantic segmentation priors for object discovery
* Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections
* Semantic Segmentation Refinement Using Entropy and Boundary-guided Monte Carlo Sampling and Directed Regional Search
* Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images
* Semantic segmentation using regions and parts
* Semantic segmentation using stride spatial pyramid pooling and dual attention decoder
* Semantic Segmentation via Multi-task, Multi-domain Learning
* Semantic segmentation via sparse coding over hierarchical regions
* Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF
* Semantic Segmentation with Active Semi-Supervised Learning
* Semantic Segmentation with Boundary Neural Fields
* Semantic Segmentation With Context Encoding and Multi-Path Decoding
* Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
* Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach
* Semantic segmentation with multi-path refinement and pyramid pooling dilated-resnet
* Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars
* Semantic Segmentation with Object Clique Potential
* Semantic Segmentation with Peripheral Vision
* Semantic Segmentation with Second-Order Pooling
* Semantic Segmentation without Annotating Segments
* Semantic Segmentation, Label and Segment Together
* Semantic Segmentation: A Zoology of Deep Architectures
* Semantic Shape Context for the Registration of Multiple Partial 3d Views
* Semantic Similarity Analysis of Urdu Documents
* Semantic Similarity Applied to Generalization of Geospatial Data
* Semantic Similarity Between Sentences Through Approximate Tree Matching
* Semantic Similarity/Relatedness for Cross Language Plagiarism Detection
* Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces
* Semantic Sparse Recoding of Visual Content for Image Applications
* Semantic Specification of Data Types for a World of Open Data
* Semantic sports video analysis: approaches and new applications
* Semantic Stereo for Incidental Satellite Images
* Semantic Stereo Matching With Pyramid Cost Volumes
* Semantic structure from motion with object and point interactions
* Semantic structure from motion with points, regions, and objects
* Semantic structure from motion
* Semantic Structure from Motion: A Novel Framework for Joint Object Recognition and 3D Reconstruction
* Semantic Structured Image Coding Framework for Multiple Intelligent Applications
* Semantic Subspace Projection and Its Applications in Image Retrieval
* Semantic super-resolution: When and where is it useful?
* Semantic superpixel based vehicle tracking
* Semantic Supplementary Network With Prior Information for Multi-Label Image Classification
* Semantic Synthesis of Pedestrian Locomotion
* Semantic Text Summarization of Long Videos
* Semantic texton forests for image categorization and segmentation
* Semantic Texture Complexity Model for Feature Generation and Selection in Visual SLAM
* Semantic Texture for Robust Dense Tracking
* Semantic three-stream network for social relation recognition
* Semantic Thresholding
* Semantic tie points
* Semantic trajectories modeling and analysis
* Semantic Transform: Weakly Supervised Semantic Inference for Relating Visual Attributes
* semantic tree-based approach for sketch-based 3D model retrieval, A
* Semantic Typicality Measure for Natural Scene Categorization, A
* semantic typology of visually grounded paraphrases, The
* Semantic Understanding of Continued and Recursive Human Activities
* Semantic Understanding of Human Behaviors in Image Sequences: From video-surveillance to video-hermeneutics
* Semantic Understanding of Scenes Through the ADE20K Dataset
* Semantic Unfolding of Stylegan Latent Space
* Semantic units based events detection in soccer videos
* Semantic Unsupervised Change Detection of Natural Land Cover With Multitemporal Object-Based Analysis on SAR Images
* Semantic Urban Maps
* Semantic Validation of Social Media Geographic Information: A Case Study On Instagram Data for Expo Milano 2015
* Semantic Video-to-Video Search Using Sub-graph Grouping and Matching
* Semantic video analysis for adaptive content delivery and automatic description
* Semantic video analysis for psychological research on violence in computer games
* Semantic Video CNNs Through Representation Warping
* Semantic Video Concept Detection using Novel Mixed-Hybrid-Fusion Approach for Multi-Label Data
* Semantic Video Entity Linking Based on Visual Content and Metadata
* Semantic video event search for surveillance video
* Semantic video fingerprinting and retrieval using face information
* Semantic Video Indexing Using a Probabilistic Framework
* Semantic video labeling by developmental visual agents
* Semantic Video Object Extraction Based on Backward Tracking of Multivalued Watershed
* Semantic video object extraction using four-band watershed and partition lattice operators
* Semantic Video Object Segmentation and Tracking Using Mathematical Morphology and Perspective Motion Model
* Semantic video object segmentation and tracking
* Semantic Video Object Tracking Algorithm Using Three-Step Boundary Refinement, A
* Semantic video object tracking using region-based classification
* Semantic Video Retrieval Using Audio Analysis
* Semantic video scene segmentation and transfer
* Semantic Video Segmentation by Gated Recurrent Flow Propagation
* Semantic video segmentation with dynamic keyframe selection and distortion-aware feature rectification
* Semantic Video Transcoding Using Classes Of Relevance
* Semantic View on Planetary Mapping: Investigating Limitations and Knowledge Modeling through Contextualization and Composition, A
* Semantic View Synthesis
* Semantic Visual Localization
* Semantic Visual Templates: Linking visual Features to Semantics
* Semantic Visual Understanding of Indoor Environments: From Structures to Opportunities for Action
* Semantic Web Technologies for Object Tracking and Video Analytics
* Semantic Web Technologies Meet BIM for Accessing and Understanding Cultural Heritage
* Semantic windows mining in sliding window based object detection
* Semantic World Modelling and Data Management in a 4D Forest Simulation and Information System
* Semantic, Cognitive, and Perceptual Computing: Paradigms That Shape Human Experience
* SemantiCADV: Generating Adversarial Examples via Attribute-conditioned Image Editing
* Semantical Analytical Approach for Zero Shot Gesture Learning, A
* Semantical video coding: Instill static-dynamic clues into structured bitstream for AI tasks
* Semantically-Aware Aerial Reconstruction from Multi-modal Data
* Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
* Semantically-based 2.5D texture printing
* Semantically-Based Human Scanpath Estimation with HMMs
* Semantically-Based Multi-Level Edge Detection System, A
* Semantically-driven automatic creation of training sets for object recognition
* Semantically-enriched 3D models for common-sense knowledge
* Semantically-Enriched Digital Portal for the Digital Preservation of Cultural Heritage with Community Participation, A
* Semantically-guided low-light image enhancement
* Semantically accurate super-resolution Generative Adversarial Networks
* Semantically Adversarial Learnable Filters
* Semantically Aligned Bias Reducing Zero Shot Learning
* Semantically Aware Urban 3D Reconstruction with Plane-Based Regularization
* Semantically Coherent 4D Scene Flow of Dynamic Scenes
* Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes
* Semantically Coherent Out-of-Distribution Detection
* Semantically Consistent Hierarchical Text to Fashion Image Synthesis with an Enhanced-Attentional Generative Adversarial Network
* Semantically Consistent Regularization for Zero-Shot Recognition
* Semantically consistent text to fashion image synthesis with an enhanced attentional generative adversarial network
* Semantically correct 2.5D GIS data -- The integration of a DTM and topographic vector data
* Semantically Derived Geometric Constraints for MVS Reconstruction of Textureless Areas
* Semantically Describing Urban Historical Buildings Across Different Levels of Granularity
* semantically driven self-supervised algorithm for detecting anomalies in image sets, A
* Semantically Enhanced UAVs to Increase the Aerial Scene Understanding
* Semantically Enriched High Resolution LOD 3 Building Model Generation
* Semantically Grounded Visual Embeddings for Zero-Shot Learning
* Semantically Guided Depth Upsampling
* Semantically guided self-supervised monocular depth estimation
* Semantically Guided Visual Question Answering
* Semantically Homogeneous Segmentation with Nonparametric Region Competition
* Semantically Informed Multiview Surface Refinement
* Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
* Semantically Interpretable and Controllable Filter Sets
* Semantically Invariant Text-to-Image Generation
* Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation
* Semantically Multi-Modal Image Synthesis
* Semantically Related Gestures Move Alike: Towards a Distributional Semantics of Gesture Kinematics
* Semantically Relevant Image Retrieval by Combining Image and Linguistic Analysis
* Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics
* Semantically Scalable Image Coding With Compression of Feature Maps
* Semantically Selective Augmentation for Deep Compact Person Re-Identification
* Semantically Similarity-Wise Dual-Branch Network for Scene Graph Generation
* Semantically Stealthy Adversarial Attacks against Segmentation Models
* Semantically Supervised Maximal Correlation For Cross-Modal Retrieval
* Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-Based Image Retrieval
* Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval
* SemanticFusion: Joint Labeling, Tracking and Mapping
* SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
* SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances
* Semantics-and-Primitives-Guided Indoor 3D Reconstruction from Point Clouds
* Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
* Semantics-aware Multi-modal Domain Translation: From LiDAR Point Clouds to Panoramic Color Images
* Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval
* Semantics-Aware Visual Object Tracking
* Semantics-Based Approach for Simplifying IFC Building Models to Facilitate the Use of BIM Models in GIS, A
* Semantics-based content extraction in typewritten historical documents
* Semantics-Based Decision Theory Region Analyzer, A
* Semantics-Based Image Retrieval by Region Saliency
* Semantics-Based Intelligent Human-Computer Interaction
* Semantics-based Retrieval by Content
* Semantics-based selection of everyday concepts in visual lifelogging
* Semantics-Based Video Indexing using a Stochastic Modeling Approach
* Semantics-Consistent Representation Learning for Remote Sensing Image-Voice Retrieval
* Semantics-Constrained Advantageous Information Selection of Multimodal Spatiotemporal Data for Landslide Disaster Assessment
* Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth
* Semantics-driven annotation of patient-specific 3D data: a step to assist diagnosis and treatment of rheumatoid arthritis
* Semantics-Driven Approach For Automatic Selection of Best Views of 3D Shapes
* Semantics-driven portrait cartoon stylization
* Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions
* Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis
* Semantics-enhanced early action detection using dynamic dilated convolution
* Semantics-enhanced supervised deep autoencoder for depth image-based 3D model retrieval
* Semantics-Guided Data Hallucination for Few-Shot Visual Classification
* Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero-Shot Learning
* Semantics-guided multi-level RGB-D feature fusion for indoor semantic segmentation
* Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
* Semantics-guided reconstruction of indoor navigation elements from 3D colorized points
* Semantics-Guided Representation Learning with Applications to Visual Synthesis
* Semantics-guided Warping for Semi-supervised Video Object Instance Segmentation, A
* Semantics-Preserving Bag-of-Words Models and Applications
* Semantics-Preserving Graph Propagation for Zero-Shot Object Detection
* Semantics-preserving hashing for cross-view retrieval
* Semantics-Preserving Warping for Stereoscopic Image Retargeting
* Semantics-to-Signal Scalable Image Compression with Learned Revertible Representations
* Semantics and CBIR: a medical imaging perspective
* Semantics constrained dictionary learning for signer-independent sign language recognition
* Semantics Discovery for Image Indexing
* Semantics Disentangling for Generalized Zero-Shot Learning
* Semantics Disentangling for Text-To-Image Generation
* Semantics Guided Contrastive Learning of Transformers for Zero-shot Temporal Activity Detection
* Semantics Modeling Based Image Retrieval System Using Neural Networks
* Semantics of multimedia in MPEG-7
* Semantics of object representation in machine learning
* Semantics of Voids within Data: Ignorance-Aware Machine Learning
* Semantics of Web Services: An Examination in GIScience Applications, The
* Semantics recalibration and detail enhancement network for real-time semantic segmentation
* Semantics reinforcement and fusion learning for multimedia streams
* Semantics Retrieval by Content and Context of Image Regions
* Semantics Supervised Cluster-Based Index for Video Databases
* Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation
* Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing
* SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing
* SemanticVox: a multilingual video search engine
* Semantik-basierte Gebäudeerfassung mit verkoppelten Markoff-Zufallsfeldern
* SEMARTCam scheduler: semantics driven real-time data collection from indoor camera networks to maximize event detection
* Semasuperpixel: A Multi-Channel Probability-Driven Superpixel Segmentation Method
* SemaTime: Timeline Visualization of Time-Dependent Relations and Semantics
* SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding
* SEMBA: secure multi-biometric authentication
* SEMBED: Semantic Embedding of Egocentric Action Videos
* semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data
* SEMD Based Sparse Gabor Representation for Eyeglasses-Face Recognition
* SEMEDA: Enhancing segmentation precision with semantic edge aware loss
* Sementically Enhanced Prototypes for Building Reconstruction
* sEMG-Based Tremor Severity Evaluation for Parkinson's Disease Using a Light-Weight CNN
* sEMG Signal-Based Lower Limb Human Motion Detection Using a Top and Slope Feature Extraction Algorithm
* Semi- and weakly-supervised human pose estimation
* Semi-) Automatic Recognition of Microorganisms in Water
* Semi-) Automatic Segmentation in Historic Collections of Heraldic Images
* Semi-)blind channel estimation for space time block coded system with transmit diversity
* Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images: Taking the Fujian Coastal Area (Mainly Sanduo) as an Example
* Semi-adaptive context-tree based lossless image compression
* Semi-adaptive, convex optimisation methodology for image denoising
* Semi-Algebraic Solids in 3-Space: A Survey of Modeling Schemes and Implications for View Graphs
* Semi-Analytic Method for Estimating Stereo Camera Geometry from Matched Points
* Semi-Analytic Method of Determining Stereo Camera Geometry from Matched Points in a Pair of Images: Coincident Meridional Planes, Exact or Noisy Data, A
* Semi-Analytic Model for Estimating Total Suspended Sediment Concentration in Turbid Coastal Waters of Northern Western Australia Using MODIS-Aqua 250 m Data, A
* Semi-Analytical Model for Delay/Doppler Altimetry and Its Estimation Algorithm, A
* Semi-Analytical Model for Remote Sensing Retrieval of Suspended Sediment Concentration in the Gulf of Bohai, China, A
* Semi-Analytical Optical Remote Sensing Model to Estimate Suspended Sediment and Dissolved Organic Carbon in Tropical Coastal Waters Influenced by Peatland-Draining River Discharges off Sarawak, Borneo, A
* Semi-Analytical Retrieval of the Diffuse Attenuation Coefficient in Large and Shallow Lakes from GOCI, a High Temporal-Resolution Satellite
* Semi-automated 3-D Building Extraction from Stereo Imagery
* Semi-Automated Approach for Mapping Urban Trees from Integrated Aerial Lidar Point Cloud and Digital Imagery Datasets
* Semi-Automated BIM Reconstruction of Full-Scale Space Frames with Spherical and Cylindrical Components Based on Terrestrial Laser Scanning
* Semi-Automated Building Extraction from Stereo Image Pairs
* Semi-Automated Classification of Lake Ice Cover Using Dual Polarization RADARSAT-2 Imagery
* Semi-automated Cloud/shadow Removal And Land Cover Change Detection Using Satellite Imagery
* Semi-Automated Delineation of Stands in an Even-Age Dominated Forest: A LiDAR-GEOBIA Two-Stage Evaluation Strategy
* Semi-Automated Extraction and Delineation of 3D Roads of Street Scene from Mobile Laser Scanning Point Clouds
* Semi-automated Extraction of Retinal Blood Vessel Network with Bifurcation and Crossover Points
* Semi-Automated Extraction of Rivers from Digital Imagery
* Semi-automated forest stand delineation using wavelet-based segmentation of very high resolution optical imagery in Flanders, Belgium
* Semi-automated framework for generating cycling lane centerlines on roads with roadside barriers from noisy MLS data
* Semi-automated generation of a multi-temporal forest depletion layer with the Landcover Change Mapper (LCM)
* Semi-Automated Generation of Road Transition Lines Using Mobile Laser Scanning Data
* Semi-Automated Identification and Extraction of Callitris Intratropica from Eucalypt Dominant Savanna
* Semi-automated Maltese front position determination
* Semi-Automated Mapping of Complex-Terrain Mountain Glaciers by Integrating L-Band SAR Amplitude and Interferometric Coherence
* Semi-Automated Method for Estimating Adélie Penguin Colony Abundance from a Fusion of Multispectral and Thermal Imagery Collected with Unoccupied Aircraft Systems, A
* Semi-automated Method for the Measurement of the Fetal Nuchal Translucency in Ultrasound Images, A
* Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data
* Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories, A
* Semi-Automated Object-Based Classification of Coral Reef Habitat using Discrete Choice Models
* Semi-Automated Object Measurement Using Multiple-Image Matching from Mobile Mapping Image Sequences
* Semi-automated OCR database generation for Nabataean scripts
* Semi-automated Point Cloud Processing Methodology For 3d Cultural Heritage Documentation, A
* Semi-automated Processing of Real-Time CMR Scans for Left Ventricle Segmentation
* Semi-Automated Roadside Image Data Collection for Characterization of Agricultural Land Management Practices
* Semi-Automated Segmentation of Geometric Shapes from Point Clouds
* Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches
* Semi-automated Speaker Adaptation: How to Control the Quality of Adaptation?
* Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study
* semi-automated system based on level sets and invariant spatial interrelation shape features for Caenorhabditis elegans phenotypes, A
* Semi-Automated Technique for Transcribing Accurate Crowd Motions, A
* Semi-automated tracking of muscle satellite cells in brightfield microscopy video
* Semi-Automated Workflow Solution for Data Set Publication, A
* Semi-automatic 2D-to-3D video conversion based on background sprite generation
* Semi-automatic 2D-to-3D video conversion based on depth propagation from key-frames
* Semi-Automatic 2D Solution for Vehicle Speed Estimation from Monocular Videos, A
* Semi-automatic 2D to 3D image conversion using scale-space Random Walks and a graph cuts based depth prior
* Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cuts
* Semi-automatic 3-D segmentation of Computed Tomographic imagery by iterative gradient-driven volume growing
* Semi-Automatic 3D City Model Generation from Large-Format Aerial Images
* Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses
* Semi-automatic 3D Reconstruction Algorithm for Telepresence, A
* Semi-automatic Adaptive OCR for Digital Libraries, A
* semi-automatic algorithm for grey level estimation in tomography, A
* Semi-Automatic Annotation For Visual Object Tracking
* Semi-Automatic Annotation of Objects in Visual-Thermal Video
* Semi-automatic annotation samples for vehicle type classification in urban environments
* Semi-automatic Annotation Scheme for Bangla Online Mixed Cursive Handwriting Samples, A
* Semi-automatic Annotation Tool for Medieval Manuscripts
* Semi-automatic Approach for Optical and Lidar Data Integration Using Phase Congruency Model At Multiple Resolutions
* Semi-automatic Approach to Object Extraction from a Combination of Image and Laser Data, A
* Semi-automatic Approach to Photo Identification of Wild Elephants, A
* Semi-automatic assembly of real cross-cut shredded documents
* Semi-Automatic Basket Catheter Reconstruction from Two X-Ray Views
* Semi-Automatic Building Extraction utilizing Quickbird Imagery
* Semi-automatic Building Models And Façade Texture Mapping From Mobile Phone Images
* Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise
* Semi-automatic choice of scale-dependent features for satellite SAR image classification
* Semi-automatic City Model Extraction from Tri-stereoscopic VHR Satellite Imagery
* Semi-automatic Cityscape 3d Model Restoration Using Generative Adversarial Network
* Semi-automatic Co-registration Of Photogrammetric And Lidar Data Using Buildings
* Semi-automatic computer aided lesion detection in dental X-rays using variational level set
* Semi-Automatic Cracks Correction Based on Seam Processing, Stochastic Analysis and Learning Process
* Semi-Automatic Creation of Youth Slang Corpus and Its Application to Affective Computing
* Semi-automatic data annotation guided by feature space projection
* semi-automatic data integration process of heterogeneous databases, A
* Semi-automatic derivation of digital elevation models from stereoscopic 3-line scanner data
* semi-automatic deshredding method based on curve matching, A
* Semi-Automatic Detection and Extraction of Man-Made Objects in Multispectral Aerial and Satellite Images
* Semi-automatic detection of cervical vertebrae in X-ray images using generalized hough transform
* Semi-automatic detection of coronary artery stenosis in 3D CTA
* Semi-Automatic Detection of Swimming Pools from Aerial High-Resolution Images and LIDAR Data
* Semi-automatic dynamic auxiliary-tag-aided image annotation
* Semi-Automatic Extraction of Different-Shaped Road Centerlines from Ms and Pan-Sharped IKONOS Images
* Semi-automatic extraction of liana stems from terrestrial LiDAR point clouds of tropical rainforests
* Semi-Automatic Extraction of Ribbon Road from High Resolution Remotely Sensed Imagery by Cooperation of Angular Texture Signature and Template Matching
* Semi-Automatic Extraction of Rural Roads under the Constraint of Combined Geometric and Texture Features
* Semi-automatic extraction of sectional view from point clouds: The case of Ottmarsheim's abbey-church
* Semi-Automatic Feature Extraction by Snakes
* Semi-automatic Feature Selecting Method for Sports Video Highlight Annotation, A
* Semi-automatic foreground/background segmentation of motion picture images and image sequences
* Semi-automatic Forensic Reconstruction of Ripped-up Documents
* Semi-Automatic Fractional Snow Cover Monitoring from Near-Surface Remote Sensing in Grassland
* semi-automatic framework for highway extraction and vehicle detection based on a geometric deformable model, A
* Semi-Automatic Generation Of Tight Binary Masks And Non-Convex Isosurfaces For Quantitative Analysis of 3D Biological Samples
* Semi-Automatic Generation of Training Samples for Detecting Renewable Energy Plants in High-Resolution Aerial Images
* Semi-automatic Ground Truth Generation for Chart Image Recognition
* Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition
* semi-automatic groundtruthing tool for mobile-captured document segmentation, A
* Semi-Automatic High Resolution SAR Data Interpretation Procedure, A
* Semi-Automatic Identification and Pre-Screening of Geological-Geotechnical Deformational Processes Using Persistent Scatterer Interferometry Datasets
* Semi-automatic identification of print layers from a sequence of sample images: A case study from banknote print inspection
* semi-automatic image-based measurement system, A
* Semi-automatic Image Annotation
* Semi-automatic Integration of Panoramic Hyperspectral Imagery with Photorealistic Lidar Models
* Semi-automatic knowledge extraction, representation and context-sensitive intelligent retrieval of video content using collateral context modelling with scalable ontological networks
* Semi-automatic leaf disease detection and classification system for soybean culture
* Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels
* Semi-Automatic Lymph Node Segmentation in LN-MRI
* Semi-Automatic Mapping of Tidal Cracks in the Fast Ice Region near Zhongshan Station in East Antarctica Using Landsat-8 OLI Imagery
* Semi-Automatic Method for Early Detection of Xylella fastidiosa in Olive Trees Using UAV Multispectral Imagery and Geostatistical-Discriminant Analysis
* Semi-Automatic Method for Extracting Small Ground Fissures from Loess Areas Using Unmanned Aerial Vehicle Images, A
* semi-automatic method for form layout description, A
* Semi-automatic Method for Intervertebral Kinematics Measurement in the Cervical Spine
* Semi-Automatic Method for Resolving Occlusion in Augmented Reality, A
* semi-automatic method for robust and efficient identification of neighboring muscle cells, A
* Semi-automatic Method for Vascular Image Segmentation, A
* Semi-automatic Method of Fan Surface Assessment to Achieve Gorgonian Population Structure in Le Danois Bank, Cantabrian Sea
* Semi-automatic Methodology for Facial Landmark Annotation, A
* Semi-Automatic Methodology for Fire Break Maintenance Operations Detection with Sentinel-2 Imagery and Artificial Neural Network
* Semi-automatic Metric Reconstruction of Buildings from Self-calibration: Preliminary Results on the Evaluation of a Linear Camera Self-calibration Method
* Semi-Automatic Modelling of Building Façades with Shape Grammars Using Historic Building Information Modelling
* Semi-automatic morphological measurements of 2-D and 3-D microvascular images
* Semi-automatic motion based segmentation using long term motion trajectories
* Semi-automatic Motion Segmentation with Motion Layer Mosaics
* Semi-automatic muscle segmentation in MR images using deep registration-based label propagation
* Semi-automatic news video annotation framework for Arabic text
* Semi-automatic object-based video segmentation with labeling of color segments
* Semi-automatic object segmentation using colour invariance and Graph cuts
* Semi-Automatic Oil Spill Detection on X-Band Marine Radar Images Using Texture Analysis, Machine Learning, and Adaptive Thresholding
* Semi-Automatic Orientation of Images With Respect to a Point Cloud System
* Semi-automatic Pipeline for Large-scale Dataset Annotation Task: A DMD Application
* Semi-Automatic Prediction of Landmarks on Human Models in Varying Poses
* Semi-Automatic Procedure for Texturing of Laser Scanning Point Clouds with Google Streetview Images, A
* Semi-automatic range to range registration: A feature-based method
* Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability Check
* Semi-Automatic Registration of Multi-Source Satellite Imagery with Varying Geometric Resolutions
* semi-automatic relative calibration of a fixed and PTZ camera pair for master-slave control, A
* Semi-automatic road detection from satellite imagery
* Semi-automatic Road Extraction from High-Resolution Satellite Image
* Semi-automatic Road Extraction from SAR images using EKF and PF
* Semi-automatic Roof Reconstruction
* semi-automatic seeded region growing algorithm for video object localization and tracking, A
* Semi-automatic Segmentation and Modelling from Point Clouds towards Historical Building Information Modelling
* Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso
* Semi-Automatic Segmentation of Tissue Cells from Confocal Microscope Images
* Semi-automatic Segmentation of Vessels By Mathematical Morphology: Application in MRI
* Semi-Automatic Semantic-Model-Based Comparison Workflow for Archaeological Features on Roman Ceramics, A
* Semi-automatic Semantic Object Extraction for Video Coding
* Semi-Automatic Semantic Video Object Extraction by Active Contour Model
* Semi-automatic spline fitting of planar curvilinear profiles in digital images using the Hough transform
* Semi-automatic stereo extraction from video footage
* Semi-automatic Surface Scanner For Medical Tangible User Interfaces
* Semi-Automatic System for Edge Tracking with Snakes, A
* Semi-automatic System for Ground Truth Generation of Soccer Video Sequences, A
* Semi-Automatic System for Land Cover Change Detection Using Bi-Temporal Remote Sensing Images
* Semi-Automatic Tagging of Photo Albums via Exemplar Selection and Tag Inference
* semi-automatic technique for multitemporal classification of a given crop within a landsat scene, A
* Semi-automatic Tibetan Component Annotation from Online Handwritten Tibetan Character Database by Optimizing Segmentation Hypotheses
* Semi-automatic Tool to Identify Heterogeneity Zones in LGE-CMR and Incorporate the Result into a 3D Model of the Left Ventricle
* Semi-automatic tracking of markers in facial palsy
* Semi-automatic Training of a Vehicle Make and Model Recognition System
* Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers
* Semi-automatic Training Sets Acquisition for Handwriting Recognition
* Semi-automatic verification of cropland and grassland using very high resolution mono-temporal satellite images
* Semi-Automatic Versus Manual Mapping of Cold-Water Coral Carbonate Mounds Located Offshore Norway
* Semi-automatic Video-to-site Registration for Aerial Monitoring
* Semi-Automatic Video Object Segmentation in the Presence of Occlusion
* Semi-automatic video object segmentation using seeded region merging and bidirectional projection
* Semi-automatic Video Segmentation for Object Tracking
* Semi-Automatic Workflow to Extract Irregularly Aligned Plots and Sub-Plots: A Case Study on Lentil Breeding Populations, A
* Semi-Automatically Labeling Objects in Images
* Semi-Automatization of Support Vector Machines to Map Lithium (Li) Bearing Pegmatites
* Semi-autonomous advanced parking assistants: do they really have to be learned if steering is automated?
* Semi-Autonomous Learning Algorithm for Remote Image Object Detection Based on Aggregation Area Instance Refinement
* Semi-autonomous Learning of Objects
* Semi-Autoregressive Transformer for Image Captioning
* Semi-Binary Based Video Features for Activity Representation
* Semi-Blind Calibration and Compensation Method for Dynamic Range Recovery of Low-Power Pre-Amplifiers in MRI Receive Chains, A
* Semi-Blind Channel Estimation in MIMO Systems With Discrete Priors on Data Symbols
* Semi-blind deconvolution for resolution enhancement in ultrasound imaging
* Semi-blind Fingerprinting Utilizing Ordinary Existing Watermarking Techniques
* Semi-Blind Image Restoration Via Mumford-Shah Regularization
* Semi-Blind Source Separation for Estimation of Clay Content Over Semi-Vegetated Areas, from VNIR/SWIR Hyperspectral Airborne Data
* Semi-Blind Source Separation for Nonlinear Acoustic Echo Cancellation
* Semi-Blind Sparse Image Reconstruction With Application to MRFM
* Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation by Use of Convolutional Neural Networks
* Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors
* Semi-Blindly Enhancing Extremely Noisy Videos With Recurrent Spatio-Temporal Large-Span Network
* Semi-calibrated Near-Light Photometric Stereo
* Semi-Calibrated Near Field Photometric Stereo
* Semi-Calibrated Photometric Stereo
* Semi-Closed Form Solution to MIMO Relaying Optimization With Source-Destination Link, A
* Semi-connections and Hierarchies
* Semi-Consistency: A Solution to the No-Label Problem
* Semi-Continuity of Skeletons in Two-Manifold and Discrete Voronoi Approximation
* Semi-continuous HMMs with explicit state duration for unconstrained Arabic word modeling and recognition
* Semi-convolutional Operators for Instance Segmentation
* Semi-Coupled Convolutional Sparse Learning for Image Super-Resolution
* Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis
* Semi-Coupled Synthesis and Analysis Dictionary Pair Learning for Kinship Verification
* Semi-Coupled Two-Stream Fusion ConvNets for Action Recognition at Extremely Low Resolutions
* Semi-customizable Gestural Commands Approach and Its Evaluation
* Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution
* Semi-Decentralized Network Slicing for Reliable V2V Service Provisioning: A Model-Free Deep Reinforcement Learning Approach
* Semi-Decoupled Partitioning for Video Coding Beyond AV1
* Semi-Definite Relaxation-Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles
* Semi-dense 3D Reconstruction with a Stereo Event Camera
* Semi-dense and robust image registration by shift adapted weighted aggregation and variational completion
* Semi-Dense Feature Matching with Transformers and its Applications in Multiple-View Geometry
* Semi-dense Piecewise Planar Stereo Reconstruction Using SymStereo and PEARL
* Semi-Dense Stereo Correspondence with Dense Features
* Semi-Dense Stereo Matching Using Dual CNNs
* Semi-dense Visual Odometry for a Monocular Camera
* semi-dependent decomposition approach to learn hierarchical classifiers, A
* Semi-Differential Invariants for Nonplanar Curves
* semi-direct approach to structure from motion, A
* Semi-discrete Matrix Factorization
* semi-ellipsoid-model based fuzzy classifier to map grassland in Inner Mongolia, China, A
* Semi-Empirical Anisotropy Correction Model for UAS-Based Multispectral Images of Bare Soil, A
* Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran, A
* semi-empirical approach for modeling the vegetation thermal infrared directional anisotropy of canopies based on using vegetation indices, A
* Semi-Empirical Calibration of the Integral Equation Model for Co-Polarized L-Band Backscattering
* Semi-Empirical Chlorophyll-a Retrieval Algorithm Considering the Effects of Sun Glint, Bottom Reflectance, and Non-Algal Particles in the Optically Shallow Water Zones of Sanya Bay Using SPOT6 Data, A
* Semi-Empirical Model for Computing Land Surface Emissivity in the Microwave Region, A
* Semi-Empirical Objective Functions for MCMC Proposal Optimization
* Semi-Empirical Retrieval Method of Above-Ground Live Forest Fuel Loads by Combining SAR and Optical Data, A
* semi-empirical scheme for bathymetric mapping in shallow water by ICESat-2 and Sentinel-2: A case study in the South China Sea, A
* Semi-Empirical SNR Model for Soil Moisture Retrieval Using GNSS SNR Data, A
* Semi-explicit Shape Model for Multi-object Detection and Classification, The
* Semi-explicit Solution and Fast Minimization Scheme for an Energy with L1-Fitting and Tikhonov-Like Regularization
* Semi-FCMNet: Semi-Supervised Learning for Forest Cover Mapping from Satellite Imagery via Ensemble Self-Training and Perturbation
* Semi-Fixed-Length Motion Vector Coding for H.263-Based Low Bit Rate Video Compression
* Semi-Flocking Algorithm for Motion Control of Mobile Sensors in Large-Scale Surveillance Systems
* Semi-fragile image authentication using generic wavelet domain features and ecc
* Semi-fragile Image Authentication Using Robust Image Hashing with Localization
* Semi-Fragile Lossless Digital Watermarking Scheme Based on Integer Wavelet Transform, A
* Semi-Fragile Reversible Watermarking for Authenticating 2D Engineering Graphics Based on Improved Region Nesting, A
* Semi-Fragile Reversible Watermarking for Authenticating 3D Models Based on Virtual Polygon Projection and Double Modulation Strategy, A
* Semi-Fragile Reversible Watermarking for Authenticating 3D Models in Dual Domains Based on Variable Direction Double Modulation, A
* Semi-fragile watermarking for grayscale image authentication and tamper detection based on an adjusted expanded-bit multiscale quantization-based technique
* Semi-fragile Watermarking for Tamper Proofing and Authentication of Still Images
* Semi-Fragile Watermarking for Video Quality Evaluation in Broadcast Scenario
* Semi-fragile Watermarking in Biometric Systems: Template Self-Embedding
* Semi-Fuzzy Rate Controller for Variable Bit Rate Video
* Semi-Global 3D Line Modeling for Incremental Structure-from-Motion
* Semi-Global Filtering of Airborne LiDAR Data for Fast Extraction of Digital Terrain Models
* Semi-Global Matching in Object Space
* Semi-global Matching with Self-adjusting Penalties
* Semi-Global Matching: A Principled Derivation in Terms of Message Passing
* Semi-global matching: an alternative to LiDAR for DSM generation?
* semi-global motion estimation of a repetition pattern region for frame interpolation, A
* Semi-global stereo matching under large and spatially variant perceptive deviations
* Semi-Global Weighted Least Squares in Image Filtering
* Semi-guided bilateral filter
* Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval
* Semi-Incremental Recognition Method for On-Line Handwritten Japanese Text, A
* Semi-Incremental Recognition of On-Line Handwritten Japanese Text
* Semi-Independent Resampling for Particle Filtering
* Semi-independent Stereo Visual Odometry for Different Field of View Cameras
* Semi-Inner-Products for Convex Functionals and Their Use in Image Decomposition
* semi-interactive panorama based 3D reconstruction framework for indoor scenes, A
* Semi-intrinsic Mean Shift on Riemannian Manifolds
* Semi-iterative inference with hierarchical models
* Semi-Lagrangian scheme for area preserving flows, A
* Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition
* Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning
* Semi-lexical languages: a formal basis for using domain knowledge to resolve ambiguities in deep-learning based computer vision
* Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model
* Semi-Local Affine Parts for Object Recognition
* Semi-Local Invariants
* Semi-Local Paradigm for Wavelet Denoising, A
* Semi-Local Scaling Exponent Estimation With Box-Penalty Constraints and Total-Variation Regularization
* Semi-Local Structure Patterns for Robust Face Detection
* Semi-local variational optical flow estimation
* Semi-Markov Model for Mitosis Segmentation in Time-Lapse Phase Contrast Microscopy Image Sequences of Stem Cell Populations, A
* Semi-metric Space: A New Approach to Treat Orthogonality and Parallelism
* Semi-Nonnegative Matrix Factorization for Motion Segmentation with Missing Data
* Semi-online Multi-people Tracking by Re-identification
* Semi-Online Multiple Object Tracking Using Graphical Tracklet Association
* Semi-online video stabilization using probabilistic keyframe update and inter-keyframe motion smoothing
* Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation
* Semi-parametric classification of noisy curves
* Semi-Parametric Image Synthesis
* Semi-Parametric Model-Based Clustering for DNA Microarray Data
* Semi-parametric Signal Classification
* Semi-Physical Approach for Downscaling Satellite Soil Moisture Data in a Typical Cold Alpine Area, Northwest China, A
* semi-physical simulation system for binocular vision guided rendezvous, A
* Semi-Proximity Continuous-Functions in Digital Images
* Semi-Quantitative Analysis Model with Parabolic Modelling for DCE-MRI Sequences of Prostate, A
* Semi-Quantitative Analysis of DCE-MRI for Classification of the Prostate with and without Cancer
* Semi-random subspace method for face recognition
* Semi-Reference Sonar Image Quality Assessment Based on Task and Visual Perception
* Semi-regular remeshing with reduced remeshing error
* Semi-Regular Representation and Progressive Compression of 3-D Dynamic Mesh Sequences
* Semi-rigorous Sensor Model For Precision Geometric Processing Of Mini-rf Bistatic Radar Images Of The Moon, A
* Semi-self-supervised Learning Approach for Wheat Head Detection using Extremely Small Number of Labeled Samples, A
* Semi-semantic Line-cluster Assisted Monocular SLAM for Indoor Environments
* Semi-Siamese Training for Shallow Face Learning
* Semi-Sparsity for Smoothing Filters
* Semi-structured document categorization with a semantic kernel
* Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training
* Semi-supervised 3D Face Representation Learning from Unconstrained Photo Collections
* Semi-Supervised 3D Hand-Object Pose Estimation Via Pose Dictionary Learning
* Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
* Semi-Supervised 3D Hand Shape and Pose Estimation with Label Propagation
* Semi-Supervised 3D Medical Image Segmentation Via Boundary-Aware Consistent Hidden Representation Learning
* Semi-Supervised 3d Object Detection Via Adaptive Pseudo-Labeling
* Semi-supervised 3D Object Detection via Temporal Graph Neural Networks
* Semi-supervised 3D Object Detection with Proficient Teachers
* Semi-Supervised 6D Object Pose Estimation Without Using Real Annotations
* Semi-Supervised Action Quality Assessment With Self-Supervised Segment Feature Recovery
* Semi-Supervised Action Recognition From Temporal Augmentation Using Curriculum Learning
* Semi-supervised action recognition in video via Labeled Kernel Sparse Coding and sparse L1 graph
* Semi-Supervised Action Recognition with Temporal Contrastive Learning
* Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels
* Semi-Supervised Active Learning Framework for Image Retrieval, A
* Semi-Supervised Active Learning with Temporal Output Discrepancy
* Semi-supervised Active Salient Object Detection
* Semi-Supervised Adapted HMMs for Unusual Event Detection
* Semi-supervised adaptive kernel concept factorization
* Semi-supervised adaptive parzen Gentleboost algorithm for fault diagnosis
* Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
* Semi-Supervised Adversarial Monocular Depth Estimation
* Semi-supervised adversarial recognition of refined window structures for inverse procedural façade modelling
* Semi-Supervised Adversarial Semantic Segmentation Network Using Transformer and Multiscale Convolution for High-Resolution Remote Sensing Imagery
* Semi-Supervised Affinity Propagation with Soft Instance-Level Constraints
* Semi-supervised and Interactive Semantic Concept Learning for Scene Recognition
* Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
* Semi-supervised annotation of faces in image collection
* Semi-Supervised Anomaly Detection with Contrastive Regularization
* semi-supervised approach for ice-water classification using dual-polarization SAR satellite imagery, A
* Semi-supervised Approach for Maximum Entropy Based Hindi Named Entity Recognition, A
* Semi-Supervised Approach to Named Entity Recognition in Spanish Applied to a Real-World Conversational System
* Semi-Supervised Approach to Perceived Age Prediction from Face Images, A
* semi-supervised approach to space carving, A
* Semi-Supervised Assessor of Neural Architectures, A
* Semi-supervised Attentive Mutual-info Generative Adversarial Network for Brain Tumor Segmentation
* Semi-Supervised Automatic Layer and Fluid Region Segmentation of Retinal Optical Coherence Tomography Images Using Adversarial Learning
* Semi-Supervised Background Subtraction Of Unseen Videos: Minimization of the Total Variation Of Graph Signals
* Semi-Supervised Bi-Dictionary Learning for Image Classification With Smooth Representation-Based Label Propagation
* Semi-supervised bidirectional alignment for Remote Sensing cross-domain scene classification
* Semi-Supervised Bilinear Subspace Learning
* Semi-supervised blockwisely architecture search for efficient lightweight generative adversarial network
* Semi-supervised boosting using visual similarity learning
* Semi-Supervised Breast Histopathological Image Classification with Self-Training Based on Non-Linear Distance Metric
* Semi-supervised Breast Lesion Segmentation Using Local Cross Triplet Loss for Ultrafast Dynamic Contrast-enhanced Mri
* Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images
* Semi-supervised center-based discriminative adversarial learning for cross-domain scene-level land-cover classification of aerial images
* Semi-Supervised Class Incremental Learning
* Semi-supervised classification and betweenness computation on large, sparse, directed graphs
* Semi-supervised Classification Based On Gauss Mixture Model For Remote Imagery
* Semi-supervised classification based on random subspace dimensionality reduction
* Semi-supervised Classification by Probabilistic Relaxation
* Semi-supervised classification for hyperspectral imagery based on spatial-spectral Label Propagation
* Semi-Supervised Classification for Hyperspectral Images Based on Multiple Classifiers and Relaxation Strategy
* Semi-Supervised Classification for Intra-Pulse Modulation of Radar Emitter Signals Using Convolutional Neural Network
* Semi-supervised Classification of Human Actions Based on Neural Networks
* Semi-Supervised Classification of Hyperspectral Images Based on Extended Label Propagation and Rolling Guidance Filtering
* Semi-Supervised Classification Using Linear Neighborhood Propagation
* Semi-supervised classification via discriminative sparse manifold regularization
* Semi-Supervised Classification via Local Spline Regression
* Semi-supervised Classification via Low Rank Graph
* Semi-supervised Classification with Active Query Selection
* Semi-Supervised Cloud Detection in Satellite Images by Considering the Domain Shift Problem
* Semi-supervised Clustering Framework Based on Active Learning for Real Data
* Semi-supervised clustering of large data sets with kernel methods
* Semi-supervised clustering of unknown expressions
* Semi-Supervised Clustering via Cannot Link Relationship for Multiview Data
* Semi-Supervised Clustering via Learnt Codeword Distances
* Semi-supervised clustering via multi-level random walk
* Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources
* Semi-supervised clustering with discriminative random fields
* Semi-supervised clustering with metric learning: An adaptive kernel method
* Semi-Supervised Clustering, Semi-Supervised Learning, Classification
* Semi-supervised Color Image Segmentation Method, A
* Semi-supervised combination of experts for aerosol optical depth estimation
* Semi-supervised Constrained Clustering with Cluster Outlier Filtering
* Semi-Supervised Contrastive Learning for Few-Shot Segmentation of Remote Sensing Images
* Semi-Supervised Contrastive Learning With Similarity Co-Calibration
* Semi-supervised convolutional generative adversarial network for hyperspectral image classification
* Semi-Supervised Convolutional Long Short-Term Memory Neural Networks for Time Series Land Cover Classification
* Semi-Supervised Convolutional Neural Networks for In-Situ Video Monitoring of Selective Laser Melting
* Semi-supervised convolutional neural networks with label propagation for image classification
* Semi-supervised Coupled Dictionary Learning for Person Re-identification
* Semi-Supervised Cross-Media Feature Learning With Unified Patch Graph Regularization
* Semi-supervised cross-modal common representation learning with vector-valued manifold regularization
* Semi-supervised cross-modal hashing via modality-specific and cross-modal graph convolutional networks
* Semi-supervised cross-modal image generation with generative adversarial networks
* Semi-supervised cross-modal representation learning with GAN-based Asymmetric Transfer Network
* Semi-Supervised Cross-Modal Retrieval With Label Prediction
* Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning
* Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification
* Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
* Semi-Supervised Crowd Counting via Self-training on Surrogate Tasks
* Semi-Supervised Crowd Counting With Spatial Temporal Consistency and Pseudo-Label Filter
* Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix
* Semi-supervised Data Augmentation Approach Using 3D Graphical Engines, A
* Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification
* Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration
* Semi-supervised Deep Domain Adaptation via Coupled Neural Networks
* Semi-supervised Deep Generative Model for Human Body Analysis, A
* Semi-Supervised Deep Learning Classification for Hyperspectral Image Based on Dual-Strategy Sample Selection
* Semi-Supervised Deep Learning for Lunar Crater Detection Using CE-2 DOM
* Semi-Supervised Deep Learning for Monocular Depth Map Prediction
* Semi-supervised deep learning for object tracking and classification
* Semi-supervised Deep Learning Techniques for Spectrum Reconstruction
* Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification
* Semi-supervised Deep Learning with Memory
* Semi-Supervised Deep Metric Learning Networks for Classification of Polarimetric SAR Data
* Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis, A
* Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images
* Semi-Supervised Deep Vision-Based Localization Using Temporal Correlation Between Consecutive Frames
* Semi-Supervised DEGAN for Optical High-Resolution Remote Sensing Image Scene Classification
* Semi-Supervised Depth Estimation by Multi-Task Learning
* Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion
* Semi-supervised dictionary learning via local sparse constraints for violence detection
* Semi-supervised dimension reduction approaches integrating global and local pattern information
* Semi-supervised dimensionality reduction of hyperspectral imagery using pseudo-labels
* Semi-supervised Dimensionality Reduction via Multimodal Matrix Factorization
* Semi-supervised discriminant analysis based on UDP regularization
* Semi-Supervised Discriminant Analysis using robust path-based similarity
* Semi-supervised Discriminant Analysis via Spectral Transduction
* Semi-supervised Discriminant Analysis
* Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises
* Semi-supervised Distance Metric Learning by Quadratic Programming
* Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval
* Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation
* Semi-Supervised Domain Adaptation by Covariance Matching
* Semi-supervised Domain Adaptation by Similarity Based Pseudo-label Injection
* Semi-supervised domain adaptation for pedestrian detection in video surveillance based on maximum independence assumption
* Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
* Semi-supervised domain adaptation via convolutional neural network
* Semi-Supervised Domain Adaptation Via Fredholm Integral Based Kernel Methods
* Semi-Supervised Domain Adaptation via Minimax Entropy
* Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation
* Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training
* Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning
* Semi-supervised Domain Adaptation with Instance Constraints
* Semi-supervised Domain Adaptation with Subspace Learning for visual recognition
* Semi-Supervised Domain Adaptive Structure Learning
* Semi-Supervised Domain Generalization with Stochastic StyleMatch
* Semi-supervised double duelling broad reinforcement learning in support of traffic service in smart cities
* Semi-supervised double sparse graphs based discriminant analysis for dimensionality reduction
* Semi-supervised dry herbage mass estimation using automatic data and synthetic images
* Semi-supervised Dual-Domain Adaptation for Semantic Segmentation
* Semi-Supervised Dual Relation Learning for Multi-Label Classification
* Semi-Supervised Dual Stream Segmentation Network for Fundus Lesion Segmentation
* Semi-supervised Edge Learning for Building Detection in Aerial Images
* Semi-Supervised EEG Signals Classification System for Epileptic Seizure Detection
* Semi-supervised elastic manifold embedding with deep learning architecture
* Semi-supervised Elastic net for pedestrian counting
* Semi-supervised Emotion Recognition using Inconsistently Annotated Data
* Semi-supervised Ensemble Learning Approach for Character Labeling with Minimal Human Effort, A
* Semi-supervised ensemble update strategies for on-line classification of fMRI data
* Semi-supervised extensions of multi-task tree ensembles
* Semi-Supervised Eye Makeup Transfer by Swapping Learned Representation
* Semi-Supervised Face Detection
* Semi-supervised face recognition with LDA self-training
* Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning
* Semi-supervised facial landmark annotation
* semi-supervised feature ranking method with ensemble learning, A
* Semi-supervised Feature Selection by Mutual Information Based on Kernel Density Estimation
* Semi-supervised Feature Selection for Gender Classification
* Semi-supervised feature selection under logistic I-RELIEF framework
* Semi-supervised feature selection with exploiting shared information among multiple tasks
* Semi-Supervised Feature Selection with Universum Based on Linked Social Media Data
* Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories
* Semi-Supervised Few-Shot Class-Incremental Learning
* Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective
* Semi-Supervised Few-shot Learning via Multi-Factor Clustering
* Semi-Supervised Fine-Grained Classification with Web Data via Noisy Sample Selection
* Semi-supervised Fine-tuning for Deep Learning Models in Remote Sensing Applications
* Semi-Supervised Framework for Mapping Data to the Intrinsic Manifold, A
* Semi-supervised framework for writer identification using structural learning
* Semi-supervised FusedGAN for Conditional Image Generation
* semi-supervised fuzzy clustering algorithm applied to gene expression data, A
* Semi-supervised Gait Recognition Based on Self-Training
* Semi-Supervised GANs with Complementary Generator Pair for Retinopathy Screening
* Semi-supervised Gaussian Mixture Model for Image Segmentation, A
* Semi-supervised Generalized VAE Framework for Abnormality Detection using One-Class Classification, A
* Semi-supervised Generative Adversarial Hashing for Image Retrieval
* semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification, A
* Semi-supervised geodesic Generative Topographic Mapping
* Semi-Supervised Graph-Based Hyperspectral Image Classification
* Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval
* Semi-supervised Graph Learning: Near Strangers or Distant Relatives
* Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation
* Semi-supervised Graph Rewiring with the Dirichlet Principle
* Semi-Supervised Grounding Alignment for Multi-Modal Feature Learning
* Semi-Supervised Hashing for Large-Scale Search
* Semi-supervised hashing for scalable image retrieval
* Semi-supervised Hashing for Semi-Paired Cross-View Retrieval
* Semi-Supervised Heterogeneous Domain Adaptation: Theory and Algorithms
* Semi-Supervised Hierarchical Graph Classification
* Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction
* Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification
* Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach
* Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self-Training
* Semi-Supervised Hyperspectral Object Detection Challenge Results: PBVS 2022
* Semi-Supervised Image-to-Video Adaptation for Video Action Recognition
* Semi-Supervised Image Classification Based on Local and Global Regression
* Semi-Supervised Image Classification in Likelihood Space
* Semi-Supervised Image Classification With Self-Paced Cross-Task Networks
* Semi-Supervised Image Database Categorization Using Pairwise Constraints
* Semi-Supervised Image Dehazing
* Semi-Supervised Image Deraining Using Gaussian Processes
* Semi-Supervised Image Deraining Using Knowledge Distillation
* Semi-supervised image labelling using barycentric graph embeddings
* Semi-supervised Image Meta-filtering in Cultural Heritage Applications
* Semi-supervised image super-resolution with attention CycleGAN
* Semi-Supervised Incremental Learning of Hierarchical Appearance Models
* Semi-supervised kernel canonical correlation analysis with application to human fMRI
* Semi-supervised kernel density estimation for video annotation
* Semi-supervised kernel matrix learning using adaptive constraint-based seed propagation
* Semi-Supervised Kernel Mean Shift Clustering
* Semi-supervised Kernel Regression Using Whitened Function Classes
* Semi-supervised Keypoint Detector and Descriptor for Retinal Image Matching
* Semi-Supervised Knowledge Distillation for Cross-Modal Hashing
* Semi-supervised Labeling Model Based on Gaussian Mixture in the Context of E-commerce Price Fraud
* Semi-Supervised Lane Detection With Deep Hough Transform
* Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation, A
* semi-supervised learning algorithm for relevance feedback and collaborative image retrieval, A
* Semi-supervised learning and feature evaluation for RGB-D object recognition
* Semi-supervised learning and graph cuts for consensus based medical image segmentation
* Semi-supervised learning and optimization for hypergraph matching
* Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues, A
* Semi-Supervised Learning Based Object Detection in Aerial Imagery
* Semi-supervised Learning based on Bayesian Networks and Optimization for Interactive Image Retrieval
* Semi-supervised learning based on group sparse for relative attributes
* Semi-supervised Learning Based on Joint Diffusion of Graph Functions and Laplacians
* Semi-Supervised Learning by Augmented Distribution Alignment
* Semi-supervised learning by locally linear embedding in kernel space
* Semi-supervised learning by search of optimal target vector
* Semi-supervised learning competence of classifiers based on graph for dynamic classifier selection
* Semi-supervised learning dehazing algorithm based on the OSV model
* Semi-Supervised Learning for ABUS Tumor Detection Using Deep Learning Methodxo
* Semi-supervised Learning for Anomalous Trajectory Detection
* Semi-supervised learning for character recognition in historical archive documents
* Semi-supervised Learning for Cross-Device Visual Location Recognition
* Semi-supervised Learning for Cursive Handwriting Recognition Using Keyword Spotting
* Semi-Supervised Learning for Discrete Choice Models
* Semi-supervised Learning for Face Sketch Synthesis in the Wild
* Semi-Supervised Learning for Few-Shot Image-to-Image Translation
* Semi-supervised Learning for Grain Size Distribution Interpolation
* Semi-supervised Learning for Handwriting Recognition
* Semi-Supervised Learning for Ill-Posed Polarimetric SAR Classification
* Semi-supervised Learning for Image Annotation Based on Conditional Random Fields
* Semi-supervised Learning for Large Scale Image Cosegmentation
* Semi-Supervised Learning for Low-light Image Restoration through Quality Assisted Pseudo-Labeling
* Semi-Supervised Learning for Mars Imagery Classification
* Semi-Supervised Learning for Monocular Gaze Redirection
* Semi-supervised Learning for RGB-D Object Recognition
* Semi-supervised learning for robust car windshield tracking and monitoring in live traffic videos
* Semi-Supervised Learning for Seismic Impedance Inversion Using Generative Adversarial Networks
* Semi-supervised learning for semantic video retrieval
* Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing
* Semi-supervised learning for text-line detection
* Semi-supervised learning framework based on statistical analysis for image set classification
* Semi-supervised learning in traffic scene surveillance based on label-propagation
* Semi-supervised Learning Method for Motility Disease Diagnostic, A
* Semi-Supervised Learning Model Based Efficient Image Annotation
* Semi-supervised learning of anatomical manifolds for atlas-based segmentation of medical images
* Semi-Supervised Learning of Camera Motion from A Blurred Image
* Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation
* Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video
* Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration
* Semi-supervised Learning of Joint Density Models for Human Pose Estimation
* Semi-Supervised Learning of Monocular 3D Hand Pose Estimation from Multi-View Images
* Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths
* Semi-supervised learning of multi-factor models for face de-identification
* Semi-supervised Learning of Nonrigid Deformations for Image Registration
* Semi-supervised learning of object categories from paired local features
* Semi-supervised Learning of Optical Flow by Flow Supervisor
* Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
* Semi-supervised learning of sparse representations to recognize people spatial orientation
* Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications
* Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
* Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets
* Semi-supervised Learning on Bi-relational Graph for Image Annotation
* Semi-supervised learning on large-scale geotagged photos for situation recognition
* Semi-supervised learning on large complex simulations
* Semi-supervised Learning on Semantic Manifold for Event Analysis in Dynamic Scenes
* Semi-supervised learning through adaptive Laplacian graph trimming
* Semi-supervised learning using adversarial training with good and bad samples
* Semi-supervised Learning via Conditional Rotation Angle Estimation
* Semi-Supervised Learning via Convolutional Neural Network for Hyperspectral Image Classification
* Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks
* Semi-supervised Learning via Multiple Layer Graph Regularized Perception
* Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions
* Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction
* Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations
* Semi-supervised learning with connectivity-driven convolutional neural networks
* Semi-supervised Learning with Constraints for Person Identification in Multimedia Data
* Semi-supervised learning with explicit relationship regularization
* Semi-Supervised Learning With Graph Learning-Convolutional Networks
* Semi-supervised learning with kernel locality-constrained linear coding
* Semi-supervised Learning with Multilayer Perceptron for Detecting Changes of Remote Sensing Images
* Semi-supervised learning with nuclear norm regularization
* Semi-Supervised Learning with Scarce Annotations
* Semi-supervised linear discriminant analysis for dimension reduction and classification
* Semi-supervised linear discriminant analysis through moment-constraint parameter estimation
* Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction
* Semi-supervised low-rank mapping learning for multi-label classification
* Semi-supervised low-rank representation for image classification
* Semi-supervised low-rank representation graph for pattern recognition
* Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning
* Semi-supervised manifold-embedded hashing with joint feature representation and classifier learning
* Semi-supervised manifold learning based on 2-fold weights
* Semi-supervised manifold regularization with adaptive graph construction
* Semi-supervised marginal discriminant analysis based on QR decomposition
* Semi-supervised Marginal Fisher Analysis for Hyperspectral Image Classification
* Semi-supervised maximum a posteriori probability segmentation of brain tissues from dual-echo magnetic resonance scans using incomplete training data
* Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-Identification, A
* Semi-Supervised Medical Image Classification W