An Improved YOLOv5 Detection Method for Strip Surface Defect-Reference-Cited by-同舟云学术

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An Improved YOLOv5 Detection Method for Strip Surface Defect

Published:2023-08-30 Issue: Volume: Page:
ISSN:
Container-title:2023 28th International Conference on Automation and Computing (ICAC)
language:
Short-container-title:

Author:

Liu Yefeng¹,Yu Longfei²,Zhang Qichun³

Affiliation:

1. School of Automation and Electrical,dept. Liaoning Key Laboratory of Information Physical Fusion and Intelligent, CNC Machine Tool Manufacturing, Shenyang Institute of Technology dept.,Fushun,China

2. Shenyang Ligong University,dept. School of Automation and Electrica Engineering

3. University of Bradford Bradford,dept. Department of Computer Science,U. K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275139/10275143/10275258.pdf?arnumber=10275258

Reference21 articles.

1. Feature Pyramid Networks for Object Detection

2. Research on metal surface defect detection by improved YOLOv3[J];cheng;Computer Engineering and Applications,2021

3. GhostNet: More Features From Cheap Operations

4. Proceedings of the IEEE conference on computer vision and pattern recognition;liu;Path aggregation network for instance segmentation,0

5. Steel surface defect detection based on improved YOLOv5 algorithm[J/OL];cao;Journal of Graphics 1–11[2023-02-12],0

Cited by 1 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. YOLO-MIF: Improved YOLOv8 with Multi-Information fusion for object detection in Gray-Scale images;Advanced Engineering Informatics;2024-10

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