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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
Multi-level Second-order Few-shot LearningCode0
Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition—0
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve—0
Spatio-temporal Relation Modeling for Few-shot Action RecognitionCode1
Revisiting spatio-temporal layouts for compositional action recognitionCode1
Object-Region Video TransformersCode1
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation—0
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence ClassificationCode1
A New Split for Evaluating True Zero-Shot Action RecognitionCode0
TA2N: Two-Stage Action Alignment Network for Few-shot Action RecognitionCode1
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