2019
DOI: 10.1007/978-3-030-17795-9_21
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A Probabilistic Superpixel-Based Method for Road Crack Network Detection

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“…The identification of cracks is a classification problem; therefore, the label accuracy of data itself is very important to the learning of a neural network. Some of the models can perform semantic analysis on the images and have a lower time cost due to using texture regression analysis to measure the accuracy of crack identification [16]. However, such an operation is complicated and has a lot of uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…The identification of cracks is a classification problem; therefore, the label accuracy of data itself is very important to the learning of a neural network. Some of the models can perform semantic analysis on the images and have a lower time cost due to using texture regression analysis to measure the accuracy of crack identification [16]. However, such an operation is complicated and has a lot of uncertainties.…”
Section: Introductionmentioning
confidence: 99%