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Updated: Jul 23, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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灵活物体的物体检测随意定向基于自适应旋转的YOLOv5

Jiajun Wu1, Lumei Su1,2, Zhiwei Lin1

  • 1College of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen 361024, China.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括

这项研究引入了一种可自适应旋转的YOLOv5 (R_YOLOv5),使用旋转边界盒 (RBB) 来准确地检测电网中的灵活物体. R_YOLOv5模型显著提高了对具有挑战性的数据集的检测准确性和概括能力.

关键词:
这是YOLOv5的.具有任意方向的灵活物体.对象检测检测对象检测对象检测电网维护和检查站点电网维护和检查站点

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