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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |