Multi-Modality Adaptive Feature Fusion Graph Convolutional Network for Skeleton-Based Action Recognition

Graph convolutional networks are widely used in skeleton-based action recognition because of their good fitting ability to non-Euclidean data. While conventional multi-scale temporal convolution uses several fixed-size convolution kernels or dilation rates at each layer of the network, we argue that...

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Detalles Bibliográficos
Autores principales: Zhang, Haiping, Zhang, Xinhao, Yu, Dongjin, Guan, Liming, Wang, Dongjing, Zhou, Fuxing, Zhang, Wanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303820/
https://www.ncbi.nlm.nih.gov/pubmed/37420580
http://dx.doi.org/10.3390/s23125414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303820/
https://www.ncbi.nlm.nih.gov/pubmed/37420580
http://dx.doi.org/10.3390/s23125414

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