Efficient attention-based deep encoder and decoder for automatic crack segmentation
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Recently, crack segmentation studies have been investigated using deep convolutional neural networks. However, significant deficiencies remain in the preparation of ground truth data, consideration of complex scenes, development of an object-specific network f... ...
