FGVC24
* *Fine-grained Visual Categorization
* Coarse or Fine? Recognising Action End States without Labels
* ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery
* HyperLeaf2024: A Hyperspectral Imaging Dataset for Classification and Regression of Wheat Leaves
* Leveraging Large Language Models for Multimodal Search
* Making use of unlabeled data: Comparing strategies for marine animal detection in long-tailed datasets using self-supervised and semi-supervised pre-training
* Monitoring Social Insect Activity with Minimal Human Supervision
* Towards Learning Image Similarity from General Triplet Labels
8 for FGVC24
FGVC25
* *Fine-grained Visual Categorization
* AerOSeg: Harnessing SAM for Open-Vocabulary Segmentation in Remote Sensing Images
* Better Coherence, Better Height: Fusing Physical Models and Deep Learning for Forest Height Estimation from Interferometric SAR Data
* Bridging Classical and Modern Computer Vision: PerceptiveNet for Tree Crown Semantic Segmentation
* CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis
* Combining Vision-Language Models and Weak Supervision for Nuanced Vision Classification Tasks
* CYFLOD: Cyclic Filtering and Loss Damping for Alleviating Noisy Labels in Fine-Grained Visual Classification
* Detecting Looted Archaeological Sites from Satellite Image Time Series
* Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
* EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
* Explainable Physical PolSAR Autoencoders for Soil Moisture Estimation
* Fine-Grained Artist Identification Method for Authentication and Attribution of Drawings Using Hatching Lines, A
* Fine-Grained Few-Shot Classification with Part Matching
* FrogDogNet: Fourier Frequency Retained Visual Prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing
* FungiTastic: A Multi-Modal Dataset and Benchmark for Image Categorization
* Get a GRIP on Test Time Adaptation! - Group Robust Inference-Time Policy Optimization for Vision Models
* Hybrid AI-Physical Modeling for Penetration Bias Correction in X-Band InSAR DEMs: A Greenland Case Study
* LADI v2: Multi-Label Dataset and Classifiers for Low-Altitude Disaster Imagery
* Mapping Biodiversity at Very-High Resolution in Europe
* Multi-aspect Knowledge Distillation with Large Language Model
* Multi-Entity Video Transformers for Fine-Grained Video Representation Learning
* On the Suitability of Reinforcement Fine-Tuning to Visual Tasks
* Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation
* Predicting Butterfly Species Presence from Satellite Imagery Using Soft Contrastive Regularisation
* Pseudo-Labelling Meets Label Smoothing for Noisy Partial Label Learning
* Real-Time Ultra-Fine-Grained Surgical Instrument Classification
* REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval
* S-EO: A Large-Scale Dataset for Geometry-Aware Shadow Detection in Remote Sensing Applications
* s2p-hd: GPU-Accelerated Binocular Stereo Pipeline for Large-Scale Same-Date Stereo
* SARFormer - An Acquisition Parameter Aware Vision Transformer for Synthetic Aperture Radar Data
* Scale-Invariant Implicit Neural Representations for Object Counting
* Scaling Test-Time Compute can Outperform Larger Architectures in Computer Vision
* Self-Supervised Pretraining for Fine-Grained Plankton Recognition
* SSL4Eco: A Global Seasonal Dataset for Geospatial Foundation Models in Ecology
* Task-Informed Meta-Learning for Remote Sensing
* Terramesh: A Planetary Mosaic of Multimodal Earth Observation Data
* TTGen: Incorporating Test-Time Scaling to Diffusion Models
* Visual Question Answering on Multiple Remote Sensing Image Modalities
* Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification, A
* WildlifeReID-10k: Wildlife Re-Identification Dataset with 10k Individual Animals
40 for FGVC25