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    • Small object detection in drone images via foreground refinement and multidimensional inductive bias self-attention

    • In the field of unmanned aerial vehicle (UAV) small target detection, researchers have proposed a method that integrates foreground refinement and multidimensional inductive bias self attention, effectively improving detection accuracy and efficiency. This method achieved significant performance improvements on three datasets.
    • Vol. 30, Issue 11, Pages: 3547-3563(2025)   

      Received:15 January 2025

      Revised:2025-04-05

      Accepted:09 April 2025

      Published:16 November 2025

    • DOI: 10.11834/jig.250017     

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  • Feng Q H, Wang Z X, Sun C C and Shao Z W. 2025. Small object detection in drone images via foreground refinement and multidimensional inductive bias self-attention. Journal of Image and Graphics, 30(11):3547-3563 DOI: 10.11834/jig.250017.
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相关作者

Feng Qihan 中国矿业大学计算机科学与技术学院
Feng Zhixiao 中国矿业大学计算机科学与技术学院
Chen Songle 南京邮电大学江苏省邮政大数据技术与应用工程研究中心;南京大学计算机软件新技术国家重点实验室
Huang Ruyue 南京邮电大学江苏省邮政大数据技术与应用工程研究中心
Huang Sixuan 南京邮电大学江苏省邮政大数据技术与应用工程研究中心
Chen Yi 南京审计大学数字经济系
Li Qian 国防科技大学气象海洋学院
Li Wenqi 复旦大学计算机科学技术学院

相关机构

Jiangsu Provincial Postal Big Data Technology and Application Engineering Research Center,Nanjing University of Posts and Telecommunications
State Key Laboratory for Novel Software Technology,Nanjing University
School of Digital Economy, Nanjing Audit University
College of Meteorology and Oceanography, National University of Defense Technology
School of Computer Science, Fudan University
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