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Lightweight image super⁃resolution network based on adaptive large kernel attention fusion
更新时间：2025-05-26

    • Lightweight image super⁃resolution network based on adaptive large kernel attention fusion

    • “In the field of image super-resolution, researchers have proposed a lightweight model that integrates three types of large kernel attention and introduces an adaptive attention fusion mechanism to effectively improve model performance.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 3, Pages: 1015-1027(2025)
    • 作者机构：

      1.中国矿业大学 信息与控制工程学院，江苏 徐州 221116

      2.成都大学 模式识别与智能信息处理四川省高校重点实验室，成都 610106

      3.中国矿业大学 计算机科学与技术学院，江苏 徐州 221116

    • CLC： TP391.41

    • Received：26 October 2023，

      Published：01 March 2025

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  • CHENG De-qiang,LIU Gui,KOU Qi-qi,et al.Lightweight image super⁃resolution network based on adaptive large kernel attention fusion[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(03):1015-1027. DOI：

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