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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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2023-01-01
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| Seri Bilgileri: | Sensors |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/1424-8220/23/1/504 |
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