Lightweight facial expression recognition method based on attention mechanism and key region fusion-Reference-Cited by-同舟云学术

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Lightweight facial expression recognition method based on attention mechanism and key region fusion

Published:2021-11-02 Issue:06 Volume:30 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Kong Yinghui¹,Ren Zhaohan¹,Zhang Ke¹,Zhang Shuaitong¹,Ni Qiang²,Han Jungong³

Affiliation:

1. North China Electric Power University, Department of Electronic and Communication Engineering, Baodi

2. Lancaster University, School of Computing and Communications, Lancaster

3. University of Aberystwyth, Department of Computer Science, Aberystwyth

Funder

National Natural Science Foundation of China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FGENet: a lightweight facial expression recognition algorithm based on FasterNet;Signal, Image and Video Processing;2024-06-03

2. Enhancing masked facial expression recognition with multimodal deep learning;Multimedia Tools and Applications;2024-02-13

3. Lightweight Facial Expression Recognition Based on Class-Rebalancing Fusion Cumulative Learning;Applied Sciences;2023-08-07

4. The Influence of Knowledge Worker Salary Satisfaction on Employee Job Performance;Journal of Organizational and End User Computing;2023-05-18

5. Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model;IEEE Access;2023

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