DSPose:姿

Anran Zhao1, Jingli Li2,3, Hongtao Zeng2,3

  • 1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.

PubMed
概括

这项研究引入了一种新的双空间驱动拓模型,以改善人类姿势估计. 通过整合物理空间关键点的相关性,它克服了特征级方法的局限性,以获得更准确的结果.

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