YOLOv8姿,.

Shaobin Cai1,2, Han Xu3, Wanchen Cai4

  • 1College of Information Engineering, Huzhou University, Huzhou, China. caishaobin@zjhu.edu.cn.

Scientific reports
|May 1, 2025
PubMed
概括

EE-YOLOv8通过集成高效多尺度感应场 (EMRF) 和扩展特征金字塔网络 (EFPN) 模块来增强人类姿势估计. 这种深度学习方法提高了检测人体姿势的准确性和效率,即使有遮.

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