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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 61–70 of 76 papers

TitleStatusHype
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition—0
Two-stream joint matching method based on contrastive learning for few-shot action recognition—0
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models—0
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation—0
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve—0
Few-shot Action Recognition with Permutation-invariant AttentionCode0
Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CPM^2C)Code0
SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action RecognitionCode0
Boosting Few-shot Action Recognition with Graph-guided Hybrid MatchingCode0
Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP-M^2DF)Code0
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