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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 61–70 of 76 papers

TitleStatusHype
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition—0
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models—0
All About Knowledge Graphs for Actions—0
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation—0
A Generative Approach to Zero-Shot and Few-Shot Action Recognition—0
Active Multimodal Distillation for Few-shot Action Recognition—0
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition—0
Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs—0
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition—0
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition—0
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