Rail surface defect detection using a transformer-based network
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference42 articles.
1. A visual detection system for rail surface defects;Li;IEEE Trans. Syst., Man, and Cybernetics, Part C (Appl. Rev.),2012
2. Automatic rail surface defects inspection based on Mask R-CNN;Guo;Transp. Res. Rec.,2021
3. Hybrid deep learning architecture for rail surface segmentation and surface defect detection;Wu;Computer-Aided Civil Infrastructure Eng.,2022
4. MRSDI-CNN: multi-model rail surface defect inspection system based on convolutional neural networks;Zhang;IEEE Trans. Intelligent Transportation Syst.,2021
5. Defect detection method for rail surface based on line-structured light;Cao;Measurement,2020
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