MGSAN: multimodal graph self-attention network for skeleton-based action recognition

被引：0
|
作者：
Wang, Junyi [1 ,2 ,3 ]
Li, Ziao [1 ,4 ]
Liu, Bangli [5 ]
Cai, Haibin [6 ]
Saada, Mohamad [6 ]
Meng, Qinggang [6 ]
机构：
[1] Faculty of Robot Science and Engineering, Northeastern University, Shenyang,110819, Thailand
[2] The Center of National Railway Intelligent Transportation System Engineering and Technology, Beijing,100081, China
[3] Foshan Graduate School of Innovation, Northeastern University, Foshan,528311, Thailand
[4] School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen,518107, China
[5] Computer Science and Informatics, De Montfort University, Leicester,LE1 9BH, United Kingdom
[6] Department of Computer Science, Loughborough University, Loughborough,LE11 3TU, United Kingdom
来源：
Multimedia Systems | 2024年 / 30卷 / 06期
关键词：
All Open Access; Hybrid Gold;
D O I：
10.1007/s00530-024-01566-8
中图分类号：
学科分类号：
摘要：
Benchmarking
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