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Updated: Jan 10, 2026

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平衡的X射线安全数据集和增强的YOLO用于非法货物检测

Songlin Zhang1, Dingju Zhu2,3, KaiLeung Yung4

  • 1School of Artificial Intelligence, South China Normal University, Foshan, 528225, China. 2024024560@m.scnu.edu.cn.

Scientific data
|November 26, 2025
PubMed
概括

本研究介绍了一个平衡的X射线偷运物品检测数据集和两个新型模型,ASEA-Net和CSEC-Net. 这些进步显著提高了检测准确性和安全查模型效率.

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