Improving the Instance-Dependent Transition Matrix Estimation by Exploiting Self-Supervised Learning
The transition matrix reveals the transition relationship between clean labels and noisy labels. It plays an important role in building statistically consistent classifiers for learning with noisy labels. However, in real-world applications, the transition matrix is usually unknown and has to be est...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 11 vom: 01. Okt., Seite 10848-10861
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| Auteur principal: |
Lin, Yexiong
(Auteur) |
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| Autres auteurs: |
Yao, Yu,
Wang, Zhaoqing,
Shen, Xu,
Yu, Jun,
Han, Bo,
Liu, Tongliang |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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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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