Facial Expression Recognition with Multi-perspective Feature Fusion Under Deep Residual Convolution

Facial Expression Recognition with Multi-perspective Feature Fusion Under Deep Residual Convolution

Aiming at the problems of inaccurate facial expression recognition and large amount of calculation under multi-perspective in real life, a facial expression recognition model MVResNet-FER is proposed, which is based on multi-perspective feature fusion under deep residual convolution.The residual...

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Bibliographic Details
Main Authors: GUAN Xiaorui, GAO Lu, SONG Wenbo, LIN Kezheng
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2023-04-01
Series:Journal of Harbin University of Science and Technology
Subjects:
multi-perspective
feature fusion
depth separable convolution
residual model
expression recognition
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2203
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