Online Rail Surface Inspection Utilizing Spatial Consistency and Continuity

Author:

Gan JinruiORCID,Wang Jianzhu,Yu Haomin,Li Qingyong,Shi Zhiping

Funder

Fundamental Research Funds for the Central Universities

Beijing Natural Science Foundation

Shanghai Research Program

National Natural Science Foundation of China

Fundamental Research Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Cited by 36 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Three-Dimensional Reconstruction Method of Rail Corrugation Based on the Vision Detection;Tribology Transactions;2024-05-03

2. BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-04

3. Rail surface defect detection using a transformer-based network;Journal of Industrial Information Integration;2024-03

4. Region and Edge-Aware Network for Rail Surface Defect Segmentation;IEEE Transactions on Instrumentation and Measurement;2024

5. Unsupervised Pixel-Level Detection of Rail Surface Defects Using Multistep Domain Adaptation;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2023-09

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