Improving Concrete Crack Segmentation Networks through CutMix Data Synthesis and Temporal Data Fusion

A key element in an automated visual inspection system for concrete structures is identifying the geometric properties of surface defects such as cracks. Fully convolutional neural networks (FCNs) have been demonstrated to be powerful tools for crack segmentation in inspection images. However, the p...

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Detalles Bibliográficos
Autores principales: Jamshidi, Maziar, El-Badry, Mamdouh, Nourian, Navid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823640/
https://www.ncbi.nlm.nih.gov/pubmed/36617106
http://dx.doi.org/10.3390/s23010504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823640/
https://www.ncbi.nlm.nih.gov/pubmed/36617106
http://dx.doi.org/10.3390/s23010504

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