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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

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Showing 1–25 of 76 papers

TitleStatusHype
Active Multimodal Distillation for Few-shot Action Recognition—0
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 Recognition—0
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence—0
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action RecognitionCode1
Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition—0
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition—0
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition—0
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition—0
SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action RecognitionCode0
A Comprehensive Review of Few-shot Action Recognition—0
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition—0
Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)Code0
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models—0
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition—0
Simultaneous Detection and Interaction Reasoning for Object-Centric Action Recognition—0
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition—0
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment—0
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 recognition—0
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 Recognition—0
Few-shot Action Recognition with Captioning Foundation Models—0
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