1. Real-time railroad track components inspection based on the improved yolov4 framework;Guo;Aut. Con,2021
2. Automatic railroad track components inspection using hybrid deep learning framework;Wu;IEEE Trans. Instrum. Meas.,2023
3. Y. Wu, Y. Qin, Y. Qian, et al., Hybrid deep learning architecture for rail surface segmentation and surface defect detection, Civil. Eng. 37 (2) 227–244.
4. Policy gradient–based focal loss to reduce false negative errors of convolutional neural networks for pavement crack segmentation;Yang;J. Infrastruct. Syst.,2023
5. Intelligent pixellevel detection of multiple distresses and surface design features on asphalt pavements;Zhang;Civil. Eng.,2022