A two-stage deep learning pipeline (DenseNet-169 then DeepLabV3+) for tunnel crack classification and segmentation achieves 92.23% classification accuracy and 57.01% segmentation IoU on the NUAACrack-2000 dataset.
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Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations
A two-stage deep learning pipeline (DenseNet-169 then DeepLabV3+) for tunnel crack classification and segmentation achieves 92.23% classification accuracy and 57.01% segmentation IoU on the NUAACrack-2000 dataset.