An image-level weakly supervised segmentation method for No-service rail surface defect with size prior-Reference-Cited by-同舟云学术

An image-level weakly supervised segmentation method for No-service rail surface defect with size prior

Published:2022-02 Issue: Volume:165 Page:108334
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Zhang Defu,Song Kechen,Xu Jing,Dong Hongwen,Yan Yunhui

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference39 articles.

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5. S. Faghih-Roohi, H. Siamak, A. Núñez, et al, Deep convolutional neural networks for detection of rail surface defects, IEEE International Joint Conference on Neural Networks (IJCNN 2016) (2016).

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