A Lightweight Highway Pavement Crack Detection Technology and Its Application
Author:
Affiliation:
1. Anhui Expressway Company Limited, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3579654.3579765
Reference10 articles.
1. Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
2. Automated Asphalt Highway Pavement Crack Detection Based on Deformable Single Shot Multi-Box Detector Under a Complex Environment
3. Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources
4. Fire Detection and Segmentation using YOLOv5 and U-NET
5. O. Ronneberger , P. Fischer , and T. Brox , “ U-Net: Convolutional Networks for Biomedical Image Segmentation.” arXiv , May 18, 2015. Accessed : Nov. 29, 2022 . [Online]. Available : http://arxiv.org/abs/1505.04597 O. Ronneberger, P. Fischer, and T. Brox, “U-Net: Convolutional Networks for Biomedical Image Segmentation.” arXiv, May 18, 2015. Accessed: Nov. 29, 2022. [Online]. Available: http://arxiv.org/abs/1505.04597
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