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...
Ausführliche Beschreibung
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
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1. Verfasser: |
Li, Zhiheng
(VerfasserIn) |
Weitere Verfasser: |
Gong, Xuyuan,
Song, Ran,
Duan, Peng,
Liu, Jun,
Zhang, Wei |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2023
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Schlagworte: | Journal Article |