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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
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization—0
Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition—0
A Comprehensive Review of Few-shot Action Recognition—0
MA-FSAR: Multimodal Adaptation of CLIP for Few-Shot Action Recognition—0
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition—0
Two-stream joint matching method based on contrastive learning for few-shot action recognition—0
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition—0
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve—0
On the Importance of Spatial Relations for Few-shot Action Recognition—0
Rethinking matching-based few-shot action recognition—0
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