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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 21–30 of 76 papers

TitleStatusHype
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
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 Recognition—0
MA-FSAR: Multimodal Adaptation of CLIP for Few-Shot Action Recognition—0
Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action RecognitionCode0
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