E-MobileNeXt：Face expression recognition Model based on improved MobileNeXt
- Article
- Figures
- Metrics
- Preview PDF
- Reference
- Related
- Cited by
- Materials
Abstract:
In response to the high complexity and low accuracy of current facial expression recognition networks, this paper proposes an E-MobileNeXt network for facial expression recognition. E-MobileNeXt is built based on our proposed E-SandGlass block. In addition, we also improve the overall performance of the network through RepConv and SGE attention mechanisms. The experimental results show that the network model improves the expression recognition accuracy by 6.5% and 7.15% in RAF-DB and CK datasets, respectively, while the parameter and floating-point operations decreased 0.79M and 4.2M compared with MobileNeXt
Keywords:
Project Supported:
The National Natural Science Foundation of China(Grant no. 61961037) and the Industrial Support Plan Project of Gansu Provincial Department of Education (Grant no. 2021CYZC-30).
Clc Number:
