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Updated: Jul 1, 2025

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基于规范化的YOLO的钢铁红外图像缺陷检测方法.

Yongqiang Zou1, Yugang Fan1

  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.

Sensors (Basel, Switzerland)
|March 13, 2024
PubMed
概括

这项研究介绍了一种强大的钢铁缺陷检测模型,使用具有协调注意力和双向特征金字塔网络的规范YOLO框架. 改进后的模型在用于工业应用的红外图像中识别缺陷时具有很高的准确性.

关键词:
这就是YOLOv8的意义.交叉的交叉.检测缺陷检测检测缺陷检测的方法红外图像中的红外图像.规范化 规范化 规范化

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