Title
Data-aware relation learning-based graph convolution neural network for facial action unit recognition
Abstract
•Propose a novel data-aware relation graph generator to build dynamic AU relation.•Establish a DAR-GCN to improve discriminative AU representation learning.•Improve the robustness of AU relation representation, especially in wild situation.•Performs better than other methods on AU recognition accuracy.
Year
DOI
Venue
2022
10.1016/j.patrec.2022.02.010
Pattern Recognition Letters
Keywords
DocType
Volume
AU recognition,FACS,GCN,Relation representation,Metric learning
Journal
155
ISSN
Citations 
PageRank 
0167-8655
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Xibin Jia100.34
Yuhan Zhou200.34
Weiting Li300.34
Jinghua Li400.34
Baocai Yin5691124.79