Detection of pavement cracks has been playing a key role in the pavement maintenance. Traditional detection methods which based on human vision can not meet the requirements of the pavement development. The traditional human-vision detection has a lot of drawbacks, such as high-cost, low-efficiency, high-dangerousness, affecting transportation and inaccuracy. Therefore, it is needed to find
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