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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 41–50 of 76 papers

TitleStatusHype
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition—0
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity ParsingCode1
Knowledge Prompting for Few-shot Action Recognition—0
Uncertainty-DTW for Time Series and SequencesCode0
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition—0
Hierarchical Compositional Representations for Few-shot Action Recognition—0
Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action RecognitionCode1
Compound Prototype Matching for Few-shot Action Recognition—0
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition—0
Hybrid Relation Guided Set Matching for Few-shot Action RecognitionCode1
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