Patch Attention Layer of Embedding Handcrafted Features in CNN for Facial Expression Recognition

Patch Attention Layer of Embedding Handcrafted Features in CNN for Facial Expression Recognition

Recognizing facial expression has attracted much more attention due to its broad range of applications in human–computer interaction systems. Although facial representation is crucial to final recognition accuracy, traditional handcrafted representations only reflect shallow characteristics and it i...

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Bibliographic Details
Main Authors: Xingcan Liang, Linsen Xu, Jinfu Liu, Zhipeng Liu, Gaoxin Cheng, Jiajun Xu, Lei Liu
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
facial expression recognition
patch attention
shallow feature
feature extraction
facial representation
convolutional layer
Online Access:https://www.mdpi.com/1424-8220/21/3/833

Internet

https://www.mdpi.com/1424-8220/21/3/833

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