EHC-GCN: Efficient Hierarchical Co-Occurrence Graph Convolution Network for Skeleton-Based Action Recognition

EHC-GCN: Efficient Hierarchical Co-Occurrence Graph Convolution Network for Skeleton-Based Action Recognition

In tasks such as intelligent surveillance and human–computer interaction, developing rapid and effective models for human action recognition is crucial. Currently, Graph Convolution Networks (GCNs) are widely used for skeleton-based action recognition. Still, they primarily face two issues: (1) The...

Full description

Bibliographic Details
Main Authors: Ying Bai, Dongsheng Yang, Jing Xu, Lei Xu, Hongliang Wang
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
action recognition
deep learning
skeletal sequences
graph convolution
depth-wise separable convolution
Online Access:https://www.mdpi.com/2076-3417/15/4/2109

Internet

https://www.mdpi.com/2076-3417/15/4/2109

Similar Items