PrefAce: face-centric pretraining with self-structure aware distillation
Video-based facial analysis is important for autonomous agents to understand human expressions and sentiments. However, limited labeled data is available to learn effective facial representations. This paper proposes a novel self-supervised face-centric pretraining framework, called PrefAce, which l...
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格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2024
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在線閱讀: | https://hdl.handle.net/10356/175280 |
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