Facial Expression Recognition Based on Zero-Addition Pretext Training and Feature Conjunction-Selection Network in Human–Robot Interaction-Reference-Cited by-同舟云学术

Facial Expression Recognition Based on Zero-Addition Pretext Training and Feature Conjunction-Selection Network in Human–Robot Interaction

Published:2023-09-15 Issue:18 Volume:23 Page:22093-22102
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Jiang Cheng-Shan¹^ORCID,Liu Zhen-Tao¹^ORCID,She Jinhua²^ORCID

Affiliation:

1. School of Automation, the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, and the Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, China University of Geosciences, Wuhan, China

2. School of Engineering, Tokyo University of Technology, Hachioji, Japan

Funder

National Natural Science Foundation of China

Hubei Provincial Natural Science Foundation of China

Wuhan Applied Basic Research Programs Project

Wuhan Applied Foundational Frontier Project

111 Project, China

College Students' Launching Project of Independent Innovation Funding Progam, China University of Geosciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10251409/10215328.pdf?arnumber=10215328

Reference36 articles.

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4. Facial expression recognition with grid-wise attention and visual transformer

5. Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition

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