A Survey of Human Action Recognition Based on Graph Convolutional Networks
Author:
Affiliation:
1. Beijing University of Technology,Faculty of Information and Technology,Beijing,China,100124
2. Beijing University of Posts and Telecommunications,Beijing,China
3. Beijing Yunji Technology Co., Ltd,Beijing,China,100089
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Beijing Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10505329/10505330/10505357.pdf?arnumber=10505357
Reference23 articles.
1. Future vehicles: interactive wheeled robots
2. The Graph Neural Network Model
3. Learnable graph convolutional network and feature fusion for multi-view learning
4. Aspect-level sentiment analysis: A survey of graph convolutional network methods
5. Inductive matrix completion based on graph neural networks;Zhang;arXiv preprint,2019
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