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A Highly Efficient Surface Defect Detection Approach for Hot Rolled Strip Steel Based on Deep Learning

  • Published:2021-11-19 Issue: Volume: Page:
  • ISSN:
  • Container-title:2021 6th International Conference on Robotics and Automation Engineering (ICRAE)
  • language:
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Author:

Hao Xinyuan,Dong Tao,Zhang Dehua

Funder

National Natural Science Foundation of China

National College Students innovation and entrepreneurship training project of China

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Surface defect detection of strip steel based on GT-CutMix augmentation algorithm and improved DSSD model;Measurement Science and Technology;2024-07-04

2. Depth extraction of 3D defects on curved surfaces with multi-line lasers;Measurement Science and Technology;2024-07-04

3. Steel Strips Surface Defect Detection Algorithm Combining Balance Mechanism and Dynamic Mechanism;2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI);2023-12-01

4. A Lightweight Network for Defect Detection in Nickel-Plated Punched Steel Strip Images;IEEE Transactions on Instrumentation and Measurement;2023
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