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Semantic segmentation network based on attention mechanism and feature fusion
更新时间:2025-07-22
    • Semantic segmentation network based on attention mechanism and feature fusion

    • In the field of image segmentation, researchers have proposed a new method to improve the DeepLabv3+network, effectively enhancing the performance of multi-scale object segmentation, with average intersection to union ratios reaching 76.2% and 78.7%, respectively.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 4, Pages: 1384-1395(2025)
    • 作者机构:

      1.长春理工大学 电子信息工程学院,长春 130022

      2.长春理工大学 空间光电技术研究所,长春 130022

      3.吉林大学第一医院 泌尿外二科,长春130061

    • DOI:10.13229/j.cnki.jdxbgxb.20230740    

      CLC: TP391.4
    • Received:15 July 2023

      Published:01 April 2025

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  • CAI Hua,WANG Yu-yao,FU Qiang,et al.Semantic segmentation network based on attention mechanism and feature fusion[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(04):1384-1395. DOI: 10.13229/j.cnki.jdxbgxb.20230740.

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