GCANet: Geometry cues-aware facial expression recognition based on graph convolutional networks

GCANet: Geometry cues-aware facial expression recognition based on graph convolutional networks

Facial expression recognition (FER) task in the wild is challenging due to some uncertainties, such as the ambiguity of facial expressions, subjective annotations, and low-quality facial images. A novel model for FER in-the-wild datasets is proposed in this study to solve these uncertainties. The ov...

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Bibliographic Details
Main Authors: Shutong Wang, Anran Zhao, Chenghang Lai, Qi Zhang, Duantengchuan Li, Yihua Gao, Liangshan Dong, Xiaoguang Wang
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Facial expression recognition
Graph convolutional network
Geometry cue
Uncertainty
Emotion label distribution learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823001593

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http://www.sciencedirect.com/science/article/pii/S1319157823001593

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