Shallow Graph Convolutional Network for Skeleton-Based Action Recognition

Graph convolutional networks (GCNs) have brought considerable improvement to the skeleton-based action recognition task. Existing GCN-based methods usually use the fixed spatial graph size among all the layers. It severely affects the model’s abilities to exploit the global and semantic discriminati...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Wenjie, Zhang, Jianlin, Cai, Jingju, Xu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827280/
https://www.ncbi.nlm.nih.gov/pubmed/33440785
http://dx.doi.org/10.3390/s21020452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827280/
https://www.ncbi.nlm.nih.gov/pubmed/33440785
http://dx.doi.org/10.3390/s21020452

Ejemplares similares