Unconstrained facial action unit detection via latent feature domain
Facial action unit (AU) detection in the wild is a challenging problem, due to the unconstrained variability in facial appearances and the lack of accurate annotations. Most existing methods depend on either impractical labor-intensive labeling or inaccurate pseudo labels. In this paper, we propo...
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Main Authors: | Shao, Zhiwen, Cai, Jianfei, Cham, Tat-Jen, Lu, Xuequan, Ma, Lizhuang |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/172649 |
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Institution: | Nanyang Technological University |
Language: | English |
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