Defect Detection in Steel Using a Hybrid Attention Network

Defect detection in steel surface focuses on accurately identifying and precisely locating defects on the surface of steel materials. Methods of defect detection with deep learning have gained significant attention in research. Existing algorithms can achieve satisfactory results, but the accuracy o...

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Detalles Bibliográficos
Autores principales: Zhou, Mudan, Lu, Wentao, Xia, Jingbo, Wang, Yuhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422419/
https://www.ncbi.nlm.nih.gov/pubmed/37571764
http://dx.doi.org/10.3390/s23156982

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422419/
https://www.ncbi.nlm.nih.gov/pubmed/37571764
http://dx.doi.org/10.3390/s23156982

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