LSKA-YOLOv8: A lightweight steel surface defect detection algorithm based on YOLOv8 improvement-Reference-Cited by-同舟云学术

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LSKA-YOLOv8: A lightweight steel surface defect detection algorithm based on YOLOv8 improvement

Published:2024-12 Issue: Volume:109 Page:201-212
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Tie Jun,Zhu Chengao,Zheng Lu,Wang HaiJiao,Ruan ChongWei,Wu Mian,Xu Ke,Liu JiaQing

Publisher

Elsevier BV

Reference40 articles.

1. Real-time X-ray weld defect detection based on lightweight YOLO network;Hu;Netw. New Media Technol.,2023

2. Surface defect detection algorithm of weldment based on improved YOLOv4;Fu;Packag. Eng.,2022

3. Weld detection method for large castings based on depthwise separable convolution;Wang;Transducer Microsyst. Technol.,2023

4. Steel surface defect recognition: A survey;Wen;Coatings,2022

5. Defect detection methods for industrial products using deep learning techniques: A review;Saberironaghi;Algorithms,2023

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