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Updated: Jul 12, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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YOLOv5-MS:智能城市实时多重监控行人目标检测模型

Fangzheng Song1, Peng Li2

  • 1College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.

Biomimetics (Basel, Switzerland)
|October 27, 2023
PubMed
概括

我们开发了YOLOv5-MS,这是一个改进的YOLOv5模型,用于智慧城市的行人检测. 它实现了更高的准确性和更快的速度,增强了城市监控能力.

关键词:
这就是IU的损失.在SE模型中,SE模型是SE模型.这就是YOLOv5-MS.图像增强 图像增强 图像增强多重监控多重监控智慧城市是智慧城市.

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