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- W3164508591 abstract "To improve the efficiency and reduce the labour cost of the renovation process, this study presents a lightweight Convolutional Neural Network (CNN)-based architecture to extract crack-like features, such as cracks and joints. Moreover, Transfer Learning (TF) method was used to save training time while offering comparable prediction results. For three different objectives: 1) Detection of the concrete cracks; 2) Detection of natural stone cracks; 3) Differentiation between joints and cracks in natural stone; We built a natural stone dataset with joints and cracks information as complementary for the concrete benchmark dataset. As the results show, our model is demonstrated as an effective tool for industry use." @default.
- W3164508591 created "2021-06-07" @default.
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- W3164508591 date "2021-05-23" @default.
- W3164508591 modified "2023-09-25" @default.
- W3164508591 title "Fast Crack Detection Using Convolutional Neural Network" @default.
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- W3164508591 doi "https://doi.org/10.48550/arxiv.2105.10892" @default.
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