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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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 28. Dez., Seite 15249-15259
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| Auteur principal: |
Khalid, Syed Safwan
(Auteur) |
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| Autres auteurs: |
Awais, Muhammad,
Feng, Zhen-Hua,
Chan, Chi-Ho,
Farooq, Ammarah,
Akbari, Ali,
Kittler, Josef |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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