Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration
Modern visual recognition models often display overconfidence due to their reliance on complex deep neural networks and one-hot target supervision, resulting in unreliable confidence scores that necessitate calibration. While current confidence calibration techniques primarily address single-label s...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 02., Seite 4811-4823
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| 1. Verfasser: |
Chen, Tianshui
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Weihang,
Pu, Tao,
Qin, Jinghui,
Yang, Zhijing,
Liu, Jie,
Lin, Liang |
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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 image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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