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Few Shot Action Recognition

Few-shot (FS) action recognition is a challenging com- puter vision problem, where the task is to classify an unlabelled query video into one of the action categories in the support set having limited samples per action class.

Papers

Showing 150 of 76 papers

TitleStatusHype
Active Multimodal Distillation for Few-shot Action Recognition0
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action RecognitionCode0
Temporal Alignment-Free Video Matching for Few-shot Action RecognitionCode1
Joint Image-Instance Spatial-Temporal Attention for Few-shot Action Recognition0
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence0
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action RecognitionCode1
Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition0
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition0
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition0
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition0
SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action RecognitionCode0
A Comprehensive Review of Few-shot Action Recognition0
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition0
Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)Code0
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models0
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition0
Simultaneous Detection and Interaction Reasoning for Object-Centric Action Recognition0
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition0
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment0
Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP-M^2DF)Code0
Two-stream joint matching method based on contrastive learning for few-shot action recognition0
D^2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action RecognitionCode1
Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CPM^2C)Code0
Semantic-aware Video Representation for Few-shot Action Recognition0
Few-shot Action Recognition with Captioning Foundation Models0
CDFSL-V: Cross-Domain Few-Shot Learning for VideosCode1
Boosting Few-shot Action Recognition with Graph-guided Hybrid MatchingCode0
On the Importance of Spatial Relations for Few-shot Action Recognition0
MA-FSAR: Multimodal Adaptation of CLIP for Few-Shot Action Recognition0
Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action RecognitionCode0
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization0
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action RecognitionCode1
Rethinking matching-based few-shot action recognition0
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language KnowledgeCode1
CLIP-guided Prototype Modulating for Few-shot Action RecognitionCode1
Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition0
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action RecognitionCode1
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition0
TempCLR: Temporal Alignment Representation with Contrastive LearningCode1
SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition0
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition0
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity ParsingCode1
Knowledge Prompting for Few-shot Action Recognition0
Uncertainty-DTW for Time Series and SequencesCode0
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition0
Hierarchical Compositional Representations for Few-shot Action Recognition0
Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action RecognitionCode1
Compound Prototype Matching for Few-shot Action Recognition0
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition0
Hybrid Relation Guided Set Matching for Few-shot Action RecognitionCode1
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