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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
Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action RecognitionCode1
A Generative Approach to Zero-Shot and Few-Shot Action Recognition—0
Compound Prototype Matching for Few-shot Action Recognition—0
Active Multimodal Distillation for Few-shot Action Recognition—0
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition—0
Hierarchical Compositional Representations for Few-shot Action Recognition—0
Few-Shot Video Classification via Temporal Alignment—0
CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition—0
Knowledge Prompting for Few-shot Action Recognition—0
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