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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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 2 vom: 11. Feb., Seite 2627-2644
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| 1. Verfasser: |
Zhu, Zheng
(VerfasserIn) |
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| Weitere Verfasser: |
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: | 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
Research Support, Non-U.S. Gov't |
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