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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
Hierarchical Compositional Representations for Few-shot Action Recognition—0
Joint Image-Instance Spatial-Temporal Attention for Few-shot Action Recognition—0
Knowledge Prompting for Few-shot Action Recognition—0
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
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition—0
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition—0
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition—0
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition—0
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