Deep Convolutional Neural Network Algorithm Fusing Global and Local Features

Deep Convolutional Neural Network Algorithm Fusing Global and Local Features

In order to further improve the accuracy of facial expression recognition, a deep convolutional neural network algorithm fusing global and local features (GL-DCNN) is proposed. The algorithm consists of two improved convolutional neural network branches, global branch and local branch, which are use...

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Bibliographic Details
Main Author: CHENG Weiyue, ZHANG Xueqin, LIN Kezheng, LI Ao
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2022-05-01
Series:Jisuanji kexue yu tansuo
Subjects:
|facial expression recognition|feature fusion|convolutional neural networks (cnn)|deep learning
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/1652926897191-1816505009.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/1652926897191-1816505009.pdf

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