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SAR-ShipSwin: enhancing SAR ship detection with robustness in complex environment.

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Title: SAR-ShipSwin: enhancing SAR ship detection with robustness in complex environment.
Authors: Tang, Ji1, Han, Yonghao2, Xian, Yunting1, xianyt@scut.edu.cn
Source: Journal of Supercomputing; Sep2024, Vol. 80 Issue 14, p20793-20812, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178806521
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: SAR-ShipSwin: enhancing SAR ship detection with robustness in complex environment.
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  Data: <searchLink fieldCode="AU" term="%22Tang%2C+Ji%22">Tang, Ji</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Han%2C+Yonghao%22">Han, Yonghao</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Xian%2C+Yunting%22">Xian, Yunting</searchLink><relatesTo>1</relatesTo>, <i>xianyt@scut.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; Sep2024, Vol. 80 Issue 14, p20793-20812, 20p
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      – Type: doi
        Value: 10.1007/s11227-024-06237-z
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 20793
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      – TitleFull: SAR-ShipSwin: enhancing SAR ship detection with robustness in complex environment.
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            NameFull: Tang, Ji
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            NameFull: Han, Yonghao
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            NameFull: Xian, Yunting
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            – D: 15
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
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              Value: 80
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              Value: 14
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            – TitleFull: Journal of Supercomputing
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