Facial expression recognition has been a heated investigate topic during recent years which can be applied in various aspects of people’s daily life, such as entertainment pictures’ generation, check-in machine of a company, etc. In this work we investigate the effect of adding visual attention mechanism to a facial expression recognition deep learning method. The main contribution is to form a new architecture to apply SE Block to normal VGGNet which shows that a significant improvement on the accuracy of facial expression recognition. These findings are properly tested on 66.8% accuracy, which validates the effectiveness of the proposed SE-VGGNet.
Research on Facial Expression Recognition Based on Deep Learning Method
2022-10-12
1139612 byte
Conference paper
Electronic Resource
English
Facial Recognition based on Deep Learning
IEEE | 2021
|Facial Expression Recognition Based on LBP-EHMM
IEEE | 2008
|Fuzzy Based Facial Expression Recognition
IEEE | 2008
|