MFF-YOLO: An Accurate Model for Detecting Tunnel Defects Based on Multi-Scale Feature Fusion

Tunnel linings require routine inspection as they have a big impact on a tunnel’s safety and longevity. In this study, the convolutional neural network was utilized to develop the MFF-YOLO model. To improve feature learning efficiency, a multi-scale feature fusion network was constructed within the...

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Detalles Bibliográficos
Autores principales: Zhu, Anfu, Wang, Bin, Xie, Jiaxiao, Ma, Congxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383211/
https://www.ncbi.nlm.nih.gov/pubmed/37514784
http://dx.doi.org/10.3390/s23146490

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383211/
https://www.ncbi.nlm.nih.gov/pubmed/37514784
http://dx.doi.org/10.3390/s23146490

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