Application of Multi-Scale Feature Fusion and Deep Learning in Detection of Steel Strip Surface Defect
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8946676/8950759/08950916.pdf?arnumber=8950916
Cited by 19 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. Slim-YOLOv8: A fast and accurate algorithm for surface defect detection of steel strips;Ironmaking & Steelmaking: Processes, Products and Applications;2024-07-23
2. A new method and practical recommendations for measuring geometric accuracy, linear and angular measurements of helical surfaces of end mill for HSM;Optics, Photonics, and Digital Technologies for Imaging Applications VIII;2024-06-18
3. Smart defect detection using transfer learning in injection molding: a comparative exploration study of deep learning architectures;The International Journal of Advanced Manufacturing Technology;2024-05-17
4. Exploring and optimizing deep neural networks for precision defect detection system in injection molding process;Journal of Intelligent Manufacturing;2024-05-02
5. Systematic Review of Steel Surface Defect Detection Methods on the Open Access Datasets of Severstal and the Northeastern University (NEU);Engineering Materials;2024
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