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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Detalles Bibliográficos
Autores principales: Zuo, Qi, Zou, Lian, Fan, Cien, Li, Dongqian, Jiang, Hao, Liu, Yifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763937/
https://www.ncbi.nlm.nih.gov/pubmed/33322231
http://dx.doi.org/10.3390/s20247149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763937/
https://www.ncbi.nlm.nih.gov/pubmed/33322231
http://dx.doi.org/10.3390/s20247149

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