Journals starting with l3d-

L3D-IVU22 * *Learning With Limited Labelled Data for Image and Video Understanding
* Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
* Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation
* AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data
* Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction
* Bootstrapped Representation Learning for Skeleton-Based Action Recognition
* Can domain adaptation make object recognition work for everyone?
* CDAD: A Common Daily Action Dataset with Collected Hard Negative Samples
* CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
* Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels
* CoDo: Contrastive Learning with Downstream Background Invariance for Detection
* Compositional Mixture Representations for Vision and Text
* Consistency-based Active Learning for Object Detection
* Contrastive Regularization for Semi-Supervised Learning
* Denoising Pretraining for Semantic Segmentation
* Efficient Conditional Pre-training for Transfer Learning
* Faster, Lighter, Robuster: A Weakly-Supervised Crowd Analysis Enhancement Network and A Generic Feature Extraction Framework
* Few-Shot Class Incremental Learning Leveraging Self-Supervised Features
* Few-Shot Image Classification Along Sparse Graphs
* Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images
* Open-Set Domain Adaptation Under Few Source-Domain Labeled Samples
* Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity
* SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning
* SCVRL: Shuffled Contrastive Video Representation Learning
* Self-Supervised Learning of Pose-Informed Latents
* Self-supervised Video Representation Learning with Cascade Positive Retrieval
* Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive Learning
* TDT: Teaching Detectors to Track without Fully Annotated Videos
* Towards Open-Set Object Detection and Discovery
* Transformaly: Two (Feature Spaces) Are Better Than One
* Uniform Priors for Data-Efficient Learning
* Unsupervised Salient Object Detection with Spectral Cluster Voting
* Vicinal Counting Networks
* ViTOL: Vision Transformer for Weakly Supervised Object Localization
* What Should Be Equivariant In Self-Supervised Learning
* Zero-shot Learning Using Multimodal Descriptions
36 for L3D-IVU22

L3D-IVU23 * *Learning With Limited Labelled Data for Image and Video Understanding
* Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation
* Effective Crop-Paste Pipeline for Few-shot Object Detection, An
* HNSSL: Hard Negative-Based Self-Supervised Learning
* Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance
* Improving Automatic Target Recognition in Low Data Regime using Semi-Supervised Learning and Generative Data Augmentation
* Improving Cross-Domain Detection with Self-Supervised Learning
* Improving Data-Efficient Fossil Segmentation via Model Editing
* In Defense of Structural Symbolic Representation for Video Event-Relation Prediction
* Incorporating Visual Grounding In GCN For Zero-shot Learning Of Human Object Interaction Actions
* Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering
* Leveraging triplet loss for unsupervised action segmentation
* LSFSL: Leveraging Shape Information in Few-shot Learning
* MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds
* Mutual Exclusive Modulator for Long-Tailed Recognition
* NamedMask: Distilling Segmenters from Complementary Foundation Models
* Neural Transformation Network to Generate Diverse Views for Contrastive Learning
* OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos
* Posture-based Infant Action Recognition in the Wild with Very Limited Data
* Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
* Self-supervised 3D Human Pose Estimation from a Single Image
* Self-Supervised Video Similarity Learning
* SimDE: A Simple Domain Expansion Approach for Single-source Domain Generalization
* Stream-Based Active Distillation for Scalable Model Deployment
* What Affects Learned Equivariance in Deep Image Recognition Models?
* Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding
* Zero-shot Object Classification with Large-scale Knowledge Graph
* Zero-shot Unsupervised Transfer Instance Segmentation
28 for L3D-IVU23

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