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    • DP-SAM: efficient semantic segmentation of remote sensing images by fine-tuning SAM

    • In the field of remote sensing image semantic segmentation, experts have proposed an efficient method that achieves efficient semantic segmentation of remote sensing images by fine-tuning the large model SAM, with better performance than other deep learning methods.
    • Vol. 30, Issue 8, Pages: 2884-2896(2025)   

      Received:24 September 2024

      Revised:2024-12-17

      Published:16 August 2025

    • DOI: 10.11834/jig.240540     

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  • Liu Siyong, Zhao Yili. 2025. DP-SAM: efficient semantic segmentation of remote sensing images by fine-tuning SAM. Journal of Image and Graphics, 30(8):2884-2896 DOI: 10.11834/jig.240540.
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相关作者

Liu Siyong 西南林业大学大数据与智能工程学院
Zhao Yili 西南林业大学大数据与智能工程学院
Lulu Lyu 郑州大学
Yi Huang 中国科学院自动化研究所模式识别国家重点实验室
Junyu Gao 中国科学院自动化研究所模式识别国家重点实验室
Xiaoshan Yang 中国科学院自动化研究所模式识别国家重点实验室
Changsheng Xu 中国科学院自动化研究所模式识别国家重点实验室

相关机构

Zhengzhou University
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
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