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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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 06., Seite 392-402
1. Verfasser: Li, Zhiheng (VerfasserIn)
Weitere Verfasser: Gong, Xuyuan, Song, Ran, Duan, Peng, Liu, Jun, Zhang, Wei
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article