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Reconstruction-driven contrastive learning for unsupervised skeleton-based human action recognition

Published Online: 2024-10-20

Published Print: 2025-01

Authors

Liu, Xing

Gao, Bo
Funding

Funding for this research was provided by:

Shenzhen Higher Education Stability Support Program (20220818120240002)

Guangdong Province General Universities Young Innovative Talent Program (2021KQNCX212)
License Information

Text and Data Mining valid from 2024-10-20

Version of Record valid from 2024-10-20
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Article History

Accepted: 29 August 2024

First Online: 20 October 2024

Declarations

:

: The authors declare that they have no conflict of interest.

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