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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
CDFSL-V: Cross-Domain Few-Shot Learning for VideosCode1
Object-Region Video TransformersCode1
Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CPM^2C)Code0
Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action RecognitionCode0
Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)Code0
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action RecognitionCode0
Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP-M^2DF)Code0
Boosting Few-shot Action Recognition with Graph-guided Hybrid MatchingCode0
Multi-level Second-order Few-shot LearningCode0
Few-shot Action Recognition with Permutation-invariant AttentionCode0
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