Application of YOLO Object Detection Network In Weld Surface Defect Detection-Reference-Cited by-同舟云学术

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Application of YOLO Object Detection Network In Weld Surface Defect Detection

Published:2021-07-27 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
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Author:

Zuo Yinlong.,Wang Jintao.,Song Jilai.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9586782/9588101/09588269.pdf?arnumber=9588269

Cited by 10 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. A multimodal deep learning method of weld defect detection based on 3D point cloud;2024-08-30

2. VMMAO-YOLO: an ultra-lightweight and scale-aware detector for real-time defect detection of avionics thermistor wire solder joints;Frontiers of Mechanical Engineering;2024-06

3. SAB-YOLOv5: An Improved YOLOv5 Model for Permanent Magnetic Ferrite Magnet Rotor Detection;Mathematics;2024-03-23

4. Online identification of burn-through and weld deviation in sheet lap MIG welding based on YOLOv5;Measurement Science and Technology;2023-11-15

5. Real-Time Defect and Object Detection in Assembly Line: A Case for In-Line Quality Inspection;Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems;2023-08-24

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