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2D human pose estimation algorithm based on adaptive parameterized non-maximum suppression
更新时间：2025-09-12

    • 2D human pose estimation algorithm based on adaptive parameterized non-maximum suppression

    • “In the field of human pose estimation, researchers have proposed a two-dimensional pose estimation algorithm based on adaptive parameterized NMS, which effectively solves the problems of low detector accuracy and redundant keypoints, opening up new directions for pose estimation research.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 7, Pages: 2425-2433(2025)
    • 作者机构：

      1.安徽理工大学 人工智能学院，安徽 淮南 232001

      2.合肥综合性国家科学中心 人工智能研究院，合肥 230026

    • DOI：10.13229/j.cnki.jdxbgxb.20240744    

      CLC： TP391

    • Received：05 July 2024，

      Published：01 July 2025

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  • LI Jia-bao,WANG Cheng-jun,SU Wen-hang.2D human pose estimation algorithm based on adaptive parameterized non-maximum suppression[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(07):2425-2433. DOI： 10.13229/j.cnki.jdxbgxb.20240744.

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