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FUS-DETR: a robust algorithm for drone detection from a cluttered background in airborne images

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Title: FUS-DETR: a robust algorithm for drone detection from a cluttered background in airborne images
Authors: Duan, SiyuanAff1, Aff2, Zhang, GengAff1, IDs1048902607448y_cor1, Li, XinAff1, Aff2, Wang, ShangAff1, Aff2, Mao, ZhiminAff1, Aff2, Hu, BingliangAff1, Liu, XuebinAff1
Source: Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems. 56(15)
Database: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s10489-026-07448-y
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  Data: <i>Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems</i>. 56(15)
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      – Type: doi
        Value: 10.1007/s10489-026-07448-y
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      – Text: English
    Titles:
      – TitleFull: FUS-DETR: a robust algorithm for drone detection from a cluttered background in airborne images
        Type: main
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            NameFull: Duan, Siyuan
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            NameFull: Zhang, Geng
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            NameFull: Li, Xin
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            NameFull: Wang, Shang
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            NameFull: Mao, Zhimin
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            NameFull: Hu, Bingliang
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            NameFull: Liu, Xuebin
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          Dates:
            – D: 01
              M: 10
              Type: published
              Y: 2026
          Identifiers:
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              Value: 0924669X
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              Value: 15737497
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              Value: 56
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              Value: 15
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            – TitleFull: Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems
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