A multi-scale pooling convolutional neural network for accurate steel surface defects classification

Surface defect detection is an important technique to realize product quality inspection. In this study, we develop an innovative multi-scale pooling convolutional neural network to accomplish high-accuracy steel surface defect classification. The model was built based on SqueezeNet, and experiments...

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Detalles Bibliográficos
Autores principales: Fu, Guizhong, Zhang, Zengguang, Le, Wenwu, Li, Jinbin, Zhu, Qixin, Niu, Fuzhou, Chen, Hao, Sun, Fangyuan, Shen, Yehu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971584/
https://www.ncbi.nlm.nih.gov/pubmed/36864898
http://dx.doi.org/10.3389/fnbot.2023.1096083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971584/
https://www.ncbi.nlm.nih.gov/pubmed/36864898
http://dx.doi.org/10.3389/fnbot.2023.1096083

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