MGR<sup>3</sup>Net: Multigranularity Region Relation Representation Network for Facial Expression Recognition in Affective Robots-Reference-Cited by-同舟云学术

MGR³Net: Multigranularity Region Relation Representation Network for Facial Expression Recognition in Affective Robots

Published:2024-05 Issue:5 Volume:20 Page:7216-7226
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Wang Yan¹^ORCID,Yan Shaoqi²^ORCID,Song Wei³^ORCID,Liotta Antonio⁴^ORCID,Liu Jing²^ORCID,Yang Dingkang²^ORCID,Gao Shuyong⁵^ORCID,Zhang Wenqiang⁶^ORCID

Affiliation:

1. Engineering Research Center of AI and Robotics, Ministry of Education, Academy for Engineering and Technology, Fudan University, Shanghai, China

2. Shanghai Engineering Research Center of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai, China

3. College of Information Technology, Shanghai Ocean University, Shanghai, China

4. Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy

5. School of Computer Science, Fudan University, Shanghai, China

6. Engineering Research Center of AI and Robotics, Ministry of Education, Academy for Engineering and Technology, School of Computer Science, Fudan University, Shanghai, China

Funder

National Key Research and Development Program of China

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Scientific and Technological Innovation Action Plan of Shanghai Science and Technology Committee

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10521545/10419057.pdf?arnumber=10419057

Reference44 articles.

1. Efficient Facial Expression Recognition With Representation Reinforcement Network and Transfer Self-Training for Human–Machine Interaction

2. Toward Children's Empathy Ability Analysis: Joint Facial Expression Recognition and Intensity Estimation Using Label Distribution Learning

3. Cloud-Edge Collaborative Depression Detection Using Negative Emotion Recognition and Cross-Scale Facial Feature Analysis

4. Impact of Deep Learning Approaches on Facial Expression Recognition in Healthcare Industries

5. Attention-Rectified and Texture-Enhanced Cross-Attention Transformer Feature Fusion Network for Facial Expression Recognition