UCDCN: a nested architecture based on central difference convolution for face anti-spoofing
Abstract The significance of facial anti-spoofing algorithms in enhancing the security of facial recognition systems cannot be overstated. Current approaches aim to compensate for the model’s shortcomings in capturing spatial information by leveraging spatio-temporal information from multiple frames...
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| Hauptverfasser: | , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2024-04-01
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| Schriftenreihe: | Complex & Intelligent Systems |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/s40747-024-01397-0 |
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