Emotion Detection Based on De-expression Residue Learning and Its Intelligent System Design-Reference-Cited by-同舟云学术

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Emotion Detection Based on De-expression Residue Learning and Its Intelligent System Design

Published:2022-10-21 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Intelligent Design (ICID)
language:
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Author:

Li JiuHui¹,Wen ChaoGuang²,Zhang JianXian³,Gan YuJian⁴,Rui Gao⁵,Yao JiaMin¹

Affiliation:

1. School of Computer Science and Cyber Engineering, Guangzhou University,Guangzhou,China

2. School of Public Finance & Taxation of Gdufe, Guangdong University of Finance & Economics,Guangzhou,China

3. College of Automation, Zhongkai University of Agriculture and Engineering,Guangzhou,China

4. The First School of Clinical Medicine, Southern Medical University,Guangzhou,China

5. School of Physics and Optoelectronic Engineering, Foshan University,Foshan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9969576/9969671/09969703.pdf?arnumber=9969703

Reference10 articles.

1. Facial Expression Recognition by De-expression Residue Learning

2. Understanding face recognition

3. Facial Expression Recognition of Nonlinear Facial Variations Using Deep Locality De-Expression Residue Learning in the Wild

4. Application of adaptive convolutional Neural network in facial expression recognition[J/OL];rui;Telecommunication Engineering,2022

5. Understanding the recognition of facial identity and facial expression

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