SMAM : Self and Mutual Adaptive Matching for Skeleton-Based Few-Shot Action Recognition

This paper focuses on skeleton-based few-shot action recognition. Since skeleton is essentially a sparse representation of human action, the feature maps extracted from it, through a standard encoder network in the few-shot condition, may not be sufficiently discriminative for some action sequences...

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Détails bibliographiques
Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 06., Seite 392-402
Auteur principal: Li, Zhiheng (Auteur)
Autres auteurs: Gong, Xuyuan, Song, Ran, Duan, Peng, Liu, Jun, Zhang, Wei
Format: Article en ligne
Langue:English
Publié: 2023
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article