Self-Supervised Action Representation Learning Based on Asymmetric Skeleton Data Augmentation

Contrastive learning has received increasing attention in the field of skeleton-based action representations in recent years. Most contrastive learning methods use simple augmentation strategies to construct pairs of positive samples. When using such pairs of positive samples to learn action represe...

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Detalles Bibliográficos
Autores principales: Zhou, Hualing, Li, Xi, Xu, Dahong, Liu, Hong, Guo, Jianping, Zhang, Yihan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698072/
https://www.ncbi.nlm.nih.gov/pubmed/36433585
http://dx.doi.org/10.3390/s22228989

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698072/
https://www.ncbi.nlm.nih.gov/pubmed/36433585
http://dx.doi.org/10.3390/s22228989

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