HFA-Net: hierarchical feature aggregation network for micro-expression recognition
Abstract Micro-expressions (MEs) are unconscious and involuntary reactions that genuinely reflect an individual’s inner emotional state, making them valuable in the fields of emotion analysis and behavior recognition. MEs are characterized by subtle changes within specific facial action units, and e...
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| Main Authors: | Meng Zhang, Wenzhong Yang, Liejun Wang, Zhonghua Wu, Danny Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-02-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-01804-0 |
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