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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
Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action RecognitionCode1
Hybrid Relation Guided Set Matching for Few-shot Action RecognitionCode1
Spatio-temporal Relation Modeling for Few-shot Action RecognitionCode1
Revisiting spatio-temporal layouts for compositional action recognitionCode1
Object-Region Video TransformersCode1
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence ClassificationCode1
TA2N: Two-Stage Action Alignment Network for Few-shot Action RecognitionCode1
Home Action Genome: Cooperative Compositional Action UnderstandingCode1
Few-shot Action Recognition with Prototype-centered Attentive LearningCode1
Temporal-Relational CrossTransformers for Few-Shot Action RecognitionCode1
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