Student Loss : Towards the Probability Assumption in Inaccurate Supervision
Noisy labels are often encountered in datasets, but learning with them is challenging. Although natural discrepancies between clean and mislabeled samples in a noisy category exist, most techniques in this field still gather them indiscriminately, which leads to their performances being partially ro...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 6 vom: 01. Mai, Seite 4460-4475
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| 1. Verfasser: |
Zhang, Shuo
(VerfasserIn) |
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| Weitere Verfasser: |
Li, Jian-Qing,
Fujita, Hamido,
Li, Yu-Wen,
Wang, Deng-Bao,
Zhu, Ting-Ting,
Zhang, Min-Ling,
Liu, Cheng-Yu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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