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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
Li Wenqi 复旦大学计算机科学技术学院
Zhou Keyang 复旦大学计算机科学技术学院
Hu Xiaoxiao 复旦大学计算机科学技术学院
Zhang Xinpeng 复旦大学计算机科学技术学院
Li Sheng 复旦大学计算机科学技术学院
Qian Zhenxing 复旦大学计算机科学技术学院

相关机构

School of Computer Science, Fudan University
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
the Geodesy Observatory of Tahiti, Tahiti
Institute of Automation, Chinese Academy of Sciences
School of Artificial Intelligence, University of Chinese Academy of Sciences
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