Facial Emotion Recognition Combining Auxiliary Classifiers and Multiscale CBAM Attention Mechanisms
Facial emotions are the most intuitive way to react to changes in inner emotions. We propose a facial emotion recognition method that combines auxiliary classifiers (Acs) and multi-scale CBAM (MCBAM) by improving the Xception network model. And we design a lightweight network model AMDCNN. We introd...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10504801/ |