Saliency Maps-Based Convolutional Neural Networks for Facial Expression Recognition

Saliency Maps-Based Convolutional Neural Networks for Facial Expression Recognition

Facial expression recognition (FER) is one of the important research contents in affective computing. It plays a key role in many application fields of human life. As a most common expression feature extraction method, the convolutional neural network (CNN) has the following main limitation. Due to...

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Bibliographic Details
Main Author: Qinglan Wei
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Facial expression recognition
saliency maps
dilated convolution
prior knowledge
the convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9438697/

Internet

https://ieeexplore.ieee.org/document/9438697/

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