Dual Attention-Guided Multiscale Dynamic Aggregate Graph Convolutional Networks for Skeleton-Based Human Action Recognition

Dual Attention-Guided Multiscale Dynamic Aggregate Graph Convolutional Networks for Skeleton-Based Human Action Recognition

Traditional convolution neural networks have achieved great success in human action recognition. However, it is challenging to establish effective associations between different human bone nodes to capture detailed information. In this paper, we propose a dual attention-guided multiscale dynamic agg...

Full description

Bibliographic Details
Main Authors: Zeyuan Hu, Eung-Joo Lee
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Symmetry
Subjects:
human action recognition
multiscale graph convolutional networks
dynamic aggregation
hierarchical level semantic information
spatial and temporal correlation
Online Access:https://www.mdpi.com/2073-8994/12/10/1589

Internet

https://www.mdpi.com/2073-8994/12/10/1589

Similar Items