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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 31–40 of 76 papers

TitleStatusHype
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action RecognitionCode0
Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action RecognitionCode0
Uncertainty-DTW for Time Series and SequencesCode0
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition—0
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition—0
Learning Graphs for Knowledge Transfer With Limited Labels—0
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence—0
Few-Shot Action Recognition with Compromised Metric via Optimal Transport—0
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment—0
Few-shot Action Recognition with Captioning Foundation Models—0
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