- https://doi.org/10.1007/s42947-025-00573-w
Pixel-Level Intelligent Recognition of Asphalt Pavement Cracks with an Improved ShuttleNet
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ReferencesShowing 10 of 25 papersAutomated pavement crack detection and segmentation based on two‐step convolutional neural network Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection An Automatic Image Processing Algorithm Based on Crack Pixel Density for Pavement Crack Detection and Classification Road crack detection using deep convolutional neural network Pixel-level detection of multiple pavement distresses and surface design features with ShuttleNetV2 Encoder–decoder network for pixel‐level road crack detection in black‐box images Intelligent pixel‐level detection of multiple distresses and surface design features on asphalt pavements Bidirectional graphics-based digital twin framework for quantifying seismic damage of structures using deep learning networks Deep Learning–Based Fully Automated Pavement Crack Detection on 3D Asphalt Surfaces with an Improved CrackNet
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