A facial expression recognition algorithm incorporating SVM and explainable residual neural network

To address the problem that traditional convolutional neural networks cannot classify facial expression image features precisely, an interpretable face expression recognition method combining ResNet18 residual network and support vector machines (SVM) is proposed in the paper. The SVM classifier is...

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Veröffentlicht in:	Signal, image and video processing image and video processing, 2023-11, Vol.17 (8), p.4245-4254
Hauptverfasser:	Ji, Lipeng, Wu, Shilong, Gu, Xiaoqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Computer Imaging Computer Science Decision analysis Face recognition Feature recognition Image classification Image Processing and Computer Vision Multimedia Information Systems Original Paper Pattern Recognition and Graphics Signal,Image and Speech Processing Support vector machines Vision
Online-Zugang:	Volltext
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