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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 11–20 of 76 papers

TitleStatusHype
CLIP-guided Prototype Modulating for Few-shot Action RecognitionCode1
Action Genome: Actions as Composition of Spatio-temporal Scene GraphsCode1
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action RecognitionCode1
Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action RecognitionCode1
D^2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action RecognitionCode1
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video RecognitionCode1
Home Action Genome: Cooperative Compositional Action UnderstandingCode1
Hybrid Relation Guided Set Matching for Few-shot Action RecognitionCode1
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action RecognitionCode1
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence ClassificationCode1
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