Generalized Parametric Contrastive Learning
In this paper, we propose the Generalized Parametric Contrastive Learning (GPaCo/PaCo) which works well on both imbalanced and balanced data. Based on theoretical analysis, we observe supervised contrastive loss tends to bias on high-frequency classes and thus increases the difficulty of imbalanced...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 22. Nov., Seite 7463-7474
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| 1. Verfasser: |
Cui, Jiequan
(VerfasserIn) |
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| Weitere Verfasser: |
Zhong, Zhisheng,
Tian, Zhuotao,
Liu, Shu,
Yu, Bei,
Jia, Jiaya |
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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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