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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 1–10 of 76 papers

TitleStatusHype
Active Multimodal Distillation for Few-shot Action Recognition—0
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action RecognitionCode0
Temporal Alignment-Free Video Matching for Few-shot Action RecognitionCode1
Joint Image-Instance Spatial-Temporal Attention for Few-shot Action Recognition—0
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence—0
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action RecognitionCode1
Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition—0
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition—0
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition—0
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition—0
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