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Efficient attention-based deep encoder and decoder for automatic crack segmentation
Recently, crack segmentation studies have been investigated using deep convolutional neural networks. However, significant deficiencies remain in the preparation of ground truth data, consideration of complex scenes, development of an object-specific network for crack segmentation, and use of an eva...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411784/ https://www.ncbi.nlm.nih.gov/pubmed/36039173 http://dx.doi.org/10.1177/14759217211053776 |