MFAFNet: An innovative crack intelligent segmentation method based on multi-layer feature association fusion network
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Publisher
Elsevier BV
Reference56 articles.
1. Automated pavement crack detection and segmentation based on two-step convolutional neural network;Liu;Computer-Aided Civ. Infrastruct. Eng.,2020
2. Predicting thermal cracking of asphalt pavements from bitumen and mix properties;Teltayev;Road Mater. Pavement Des.,2018
3. An optimum selection strategy of reflective cracking mitigation methods for an asphalt concrete overlay over flexible pavements;Golestani;Int. J. Pavement Eng.,2018
4. CrackU-net: a novel deep convolutional neural network for pixelwise pavement crack detection;Huyan;Struct. Control Health Monit.,2020
5. Deep learning-based crack damage detection using convolutional neural networks;Cha;Computer-Aided Civ. Infrastruct. Eng.,2017
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1. FCT-Net: A dual-encoding-path network fusing atrous spatial pyramid pooling and transformer for pavement crack detection;Engineering Applications of Artificial Intelligence;2024-11
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