WebFace260M : A Benchmark for Million-Scale Deep Face Recognition
Face benchmarks empower the research community to train and evaluate high-performance face recognition systems. In this paper, we contribute a new million-scale recognition benchmark, containing uncurated 4M identities/260M faces (WebFace260M) and cleaned 2M identities/42M faces (WebFace42M) trainin...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 2 vom: 11. Feb., Seite 2627-2644
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| Auteur principal: |
Zhu, Zheng
(Auteur) |
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| Autres auteurs: |
Huang, Guan,
Deng, Jiankang,
Ye, Yun,
Huang, Junjie,
Chen, Xinze,
Zhu, Jiagang,
Yang, Tian,
Du, Dalong,
Lu, Jiwen,
Zhou, Jie |
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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
Research Support, Non-U.S. Gov't |
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