Mixed Receptive Fields Augmented YOLO with Multi-Path Spatial Pyramid Pooling for Steel Surface Defect Detection

Aiming at the problems of low detection efficiency and poor detection accuracy caused by texture feature interference and dramatic changes in the scale of defect on steel surfaces, an improved YOLOv5s model is proposed. In this study, we propose a novel re-parameterized large kernel C3 module, which...

Descripción completa

Detalles Bibliográficos
Autores principales: Xia, Kewen, Lv, Zhongliang, Zhou, Chuande, Gu, Guojun, Zhao, Zhiqiang, Liu, Kang, Li, Zelun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255213/
https://www.ncbi.nlm.nih.gov/pubmed/37299841
http://dx.doi.org/10.3390/s23115114

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255213/
https://www.ncbi.nlm.nih.gov/pubmed/37299841
http://dx.doi.org/10.3390/s23115114

Ejemplares similares