Extended T : Learning With Mixed Closed-Set and Open-Set Noisy Labels
The noise transition matrix T, reflecting the probabilities that true labels flip into noisy ones, is of vital importance to model label noise and build statistically consistent classifiers. The traditional transition matrix is limited to model closed-set label noise, where noisy training data have...
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Détails bibliographiques
Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 3 vom: 02. März, Seite 3047-3058
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Auteur principal: |
Xia, Xiaobo
(Auteur) |
Autres auteurs: |
Han, Bo,
Wang, Nannan,
Deng, Jiankang,
Li, Jiatong,
Mao, Yinian,
Liu, Tongliang |
Format: | Article en ligne
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Langue: | English |
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 |