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Whole and Part Adaptive Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition
Spatiotemporal graph convolution has made significant progress in skeleton-based action recognition in recent years. Most of the existing graph convolution methods take all the joints of the human skeleton as the overall modeling graph, ignoring the differences in the movement patterns of various pa...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7763937/ https://ncbi.nlm.nih.gov/pubmed/33322231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20247149 |
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