Cargando…
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...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| 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 |