Improving Facial Expression Recognition with a Focal Transformer and Partial Feature Masking Augmentation
With the advancement of deep learning (DL) and computer vision (CV) technologies, significant progress has been made in facial expression identification FER for real-world applications. However, FER still faces challenges such as occlusion and head pose variations, which make it difficult for FER mo...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/92/1/70 |
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