Synthesizing the performance of deep learning in vision-based pavement distress detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering,Environmental Engineering,Engineering (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s41062-023-01250-2.pdf
Reference53 articles.
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4. Huyan J, Li W, Tighe S et al (2020) CrackU-net: a novel deep convolutional neural network for pixelwise pavement crack detection. Struct Control Health Monit 27:2551
5. Hascoet T, Zhang Y, Persch A, et al (2020) FasterRCNN monitoring of road damages: competition and deployment. In: 2020 IEEE International conference on big data (Big Data. IEEE, pp 5545–5552
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