Lightweight-detection: The strip steel surface defect identification based on improved YOLOv5d

Author:

Lu Yan,Huang Zhi-Chao,Jiang Yu-Qiang,Liu Guang-Rui,Wang Jia-Xuan,Ma Qi-Ming

Publisher

Elsevier BV

Reference42 articles.

1. Surface defect detection of steel strips based on classification priority YOLOv3-dense network;Zhang;Ironmak. Steelmak.,2020

2. A review of gum metal: developments over the years and new perspectives;Silva;J. Mater. Res.,2022

3. Surface defect detection of steel strips based on improved YOLOv4;Li;Comput. Electr. Eng.,2022

4. Deep learning in alloy material microstructures: application and prospects;Che;Mater. Today Commun.,2023

5. Development of a CNN-based hierarchical inspection system for detecting defects on electroluminescence images of single-crystal silicon photovoltaic modules;Lin;Mater. Today Commun.,2022

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