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Improved Pixel-Level Pavement-Defect Segmentation Using a Deep Autoencoder
Convolutional neural networks perform impressively in complicated computer-vision image-segmentation tasks. Vision-based systems surpass humans in speed and accuracy in quality inspection tasks. Moreover, the maintenance of big infrastructures, such as roads, bridges, or buildings, is tedious and ti...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249178/ https://www.ncbi.nlm.nih.gov/pubmed/32365925 http://dx.doi.org/10.3390/s20092557 |