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TsCANet: Three-stream contrastive adaptive network for cross-domain few-shot learning.

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Title: TsCANet: Three-stream contrastive adaptive network for cross-domain few-shot learning.
Authors: Bi, Yuandong1, Zhu, Hong1, zhuhong@xaut.edu.cn, Shi, Jing1, Song, Bin1
Source: Journal of Supercomputing; Jan2025, Vol. 81 Issue 1, p1-23, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180761019
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: TsCANet: Three-stream contrastive adaptive network for cross-domain few-shot learning.
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  Data: <searchLink fieldCode="AU" term="%22Bi%2C+Yuandong%22">Bi, Yuandong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhu%2C+Hong%22">Zhu, Hong</searchLink><relatesTo>1</relatesTo>, <i>zhuhong@xaut.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Shi%2C+Jing%22">Shi, Jing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Song%2C+Bin%22">Song, Bin</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; Jan2025, Vol. 81 Issue 1, p1-23, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180761019
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11227-024-06482-2
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 23
        StartPage: 1
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      – TitleFull: TsCANet: Three-stream contrastive adaptive network for cross-domain few-shot learning.
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            NameFull: Bi, Yuandong
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            NameFull: Zhu, Hong
      – PersonEntity:
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            NameFull: Shi, Jing
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            NameFull: Song, Bin
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            – D: 01
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
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            – Type: issn-print
              Value: 09208542
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              Value: 81
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              Value: 1
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            – TitleFull: Journal of Supercomputing
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