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Underwater image enhancement via dual-domain experts with hybrid-masked contrastive learning.

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Title: Underwater image enhancement via dual-domain experts with hybrid-masked contrastive learning.
Authors: Qin, Jiajie1, z23050047@s.upc.edu.cn, Xu, Renjie1,2, xurj9@mail2.sysu.edu.cn, Wang, Jun1, slwangjun@upc.edu.cn, Fu, Sichao3, fusichao_hust@163.com, Liu, Baodi1, liubaodi@upc.edu.cn
Source: Applied Soft Computing; Jul2026, Vol. 198, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194228771
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Underwater image enhancement via dual-domain experts with hybrid-masked contrastive learning.
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  Data: <searchLink fieldCode="AU" term="%22Qin%2C+Jiajie%22">Qin, Jiajie</searchLink><relatesTo>1</relatesTo>, <i>z23050047@s.upc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Xu%2C+Renjie%22">Xu, Renjie</searchLink><relatesTo>1,2</relatesTo>, <i>xurj9@mail2.sysu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Jun%22">Wang, Jun</searchLink><relatesTo>1</relatesTo>, <i>slwangjun@upc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Fu%2C+Sichao%22">Fu, Sichao</searchLink><relatesTo>3</relatesTo>, <i>fusichao_hust@163.com</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Baodi%22">Liu, Baodi</searchLink><relatesTo>1</relatesTo>, <i>liubaodi@upc.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Soft+Computing%22">Applied Soft Computing</searchLink>; Jul2026, Vol. 198, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194228771
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      – Type: doi
        Value: 10.1016/j.asoc.2026.115246
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      – Code: eng
        Text: English
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      – TitleFull: Underwater image enhancement via dual-domain experts with hybrid-masked contrastive learning.
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            NameFull: Qin, Jiajie
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            NameFull: Xu, Renjie
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            NameFull: Wang, Jun
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              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 198
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