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GAS-GCN: Gated Action-Specific Graph Convolutional Networks for Skeleton-Based Action Recognition
Skeleton-based action recognition has achieved great advances with the development of graph convolutional networks (GCNs). Many existing GCNs-based models only use the fixed hand-crafted adjacency matrix to describe the connections between human body joints. This omits the important implicit connect...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349730/ https://www.ncbi.nlm.nih.gov/pubmed/32575802 http://dx.doi.org/10.3390/s20123499 |