FSDGNet: frequency and spatial dual guide network for crack detection
Yang Liu,
Genji Yuan,
Jianbo Li
et al.
Abstract:Cracks are one of the major threats to the safe operation of civil infrastructures, so timely and accurate detection of cracks is crucial for accident prevention. However, in practical applications, the poor continuity and low contrast of many cracks (e.g., pavement cracks) pose a great challenge to image-based crack detection. In previous approaches, the detection results are often unsatisfactory due to the limitation of the dataset and the singularity of the detection method. To solve this problem, we propos… Show more
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