NPT-Loss : Demystifying Face Recognition Losses With Nearest Proxies Triplet
Face recognition (FR) using deep convolutional neural networks (DCNNs) has seen remarkable success in recent years. One key ingredient of DCNN-based FR is the design of a loss function that ensures discrimination between various identities. The state-of-the-art (SOTA) solutions utilise normalised So...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 28. Dez., Seite 15249-15259
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| 1. Verfasser: |
Khalid, Syed Safwan
(VerfasserIn) |
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| Weitere Verfasser: |
Awais, Muhammad,
Feng, Zhen-Hua,
Chan, Chi-Ho,
Farooq, Ammarah,
Akbari, Ali,
Kittler, Josef |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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