Latent Class-Conditional Noise Model
Learning with noisy labels has become imperative in the Big Data era, which saves expensive human labors on accurate annotations. Previous noise-transition-based methods have achieved theoretically-grounded performance under the Class-Conditional Noise model (CCN). However, these approaches builds u...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 8 vom: 22. Aug., Seite 9964-9980
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| Auteur principal: |
Yao, Jiangchao
(Auteur) |
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| Autres auteurs: |
Han, Bo,
Zhou, Zhihan,
Zhang, Ya,
Tsang, Ivor W |
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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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