Robustness comparison between the capsule network and the convolutional network for facial expression recognition

As an important part of human-computer interactions, facial expression recognition has become a popular research topic in computer vision, pattern recognition, artificial intelligence and other fields. With the development of deep learning and convolutional neural networks, research on facial expres...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Jg. 51; H. 4; S. 2269 - 2278
Hauptverfasser:	Li, Donghui, Zhao, Xingcong, Yuan, Guangjie, Liu, Ying, Liu, Guangyuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2021 Springer Nature B.V
Schlagworte:	Artificial Intelligence Artificial neural networks Computer Science Computer vision Machine learning Machines Manufacturing Mechanical Engineering Neural networks Occlusion Pattern recognition Processes Robustness Deep learning Facial expression recognition Robustness Capsule network
ISSN:	0924-669X, 1573-7497
Online-Zugang:	Volltext
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