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Domain adaptation with category-level contrastive learning for semi-supervised cross-modal hashing.

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Title: Domain adaptation with category-level contrastive learning for semi-supervised cross-modal hashing.
Authors: Han, Zhichao1, gs61677@student.upm.edu.my, Azman, Azreen1, azreenazman@upm.edu.my, Rina Mustaffa, Mas1, masrina@upm.edu.my, Khalid, Fatimah1, fatimahk@upm.edu.my
Source: Applied Intelligence; Jul2025, Vol. 55 Issue 11, p1-16, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186172049
AccessLevel: 2
PubType: Academic Journal
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  Data: Domain adaptation with category-level contrastive learning for semi-supervised cross-modal hashing.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Intelligence%22">Applied Intelligence</searchLink>; Jul2025, Vol. 55 Issue 11, p1-16, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186172049
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      – Type: doi
        Value: 10.1007/s10489-025-06712-x
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      – Code: eng
        Text: English
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      – TitleFull: Domain adaptation with category-level contrastive learning for semi-supervised cross-modal hashing.
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            NameFull: Han, Zhichao
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            NameFull: Azman, Azreen
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            NameFull: Rina Mustaffa, Mas
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            – D: 20
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              Text: Jul2025
              Type: published
              Y: 2025
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              Value: 55
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              Value: 11
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            – TitleFull: Applied Intelligence
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