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Updated: Jan 15, 2026

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GA-YOLOv11:一个轻量级的地铁外来物体检测模型,基于改进的YOLOv11

Ning Guo1, Min Huang1,2, Wensheng Wang1,2

  • 1Mechanical Electrical Engineering School, Beijing Information Science and Technology University, Beijing 100192, China.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

一个新的轻量级深度学习模型,GA-YOLOv11,改善了地铁平台上的异物检测. 这种先进的系统可以减少错误的阳性和阴性,通过最大限度地降低被困风险来提高乘客安全.

关键词:
这就是YOLOv11的意义.注意力机制注意力机制异物检测 异物检测轻量级模块的轻量级模块可以使用.

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