Source-Free Domain Adaptation With Domain Generalized Pretraining for Face Anti-Spoofing
Source-free domain adaptation (SFDA) shows the potential to improve the generalizability of deep learning-based face anti-spoofing (FAS) while preserving the privacy and security of sensitive human faces. However, existing SFDA methods are significantly degraded without accessing source data due to...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 8 vom: 01. Juli, Seite 5430-5448
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| 1. Verfasser: |
Liu, Yuchen
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Yabo,
Dai, Wenrui,
Gou, Mengran,
Huang, Chun-Ting,
Xiong, Hongkai |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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