Local Multi-Head Channel Self-Attention for Facial Expression Recognition
Since the Transformer architecture was introduced in 2017, there has been many attempts to bring the <i>self-attention</i> paradigm in the field of computer vision. In this paper, we propose <i>LHC</i>: Local multi-Head Channel <i>self-attention</i>, a novel <i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-09-01
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| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/13/9/419 |