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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 51–60 of 76 papers

TitleStatusHype
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition—0
Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition—0
Semantic-aware Video Representation for Few-shot Action Recognition—0
Simultaneous Detection and Interaction Reasoning for Object-Centric Action Recognition—0
SMAM: Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition—0
Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition—0
Compound Prototype Matching for Few-shot Action Recognition—0
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition—0
CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition—0
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition—0
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