Discussion of “Maximum Gradient Decision-Making for Railways Based on Convolutional Neural Network” by Hao Pu, Hong Zhang, Paul Schonfeld, Wei Li, Jie Wang, Xianbao Peng, and Jianping Hu
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VIEW THE ORIGINAL ARTICLEPublication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 4
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
References
Girshick, R. 2015. “Fast R-CNN.” In Proc., IEEE Int. Conf. on Computer Vision (ICCV), 1440–1448. New York: IEEE. https://ieeexplore.ieee.org/document/7410526.
He, K., X. Zhang, S. Ren, and J. Sun. 2015. “Spatial pyramid pooling in deep convolutional networks for visual recognition.” IEEE Trans. Pattern Anal. Mach. Intell. 37 (9): 1904–1916. https://doi.org/10.1109/TPAMI.2015.2389824.
Krizhevsky, A., I. Sutskever, and G. Hinton. 2017. “ImageNet classification with deep convolutional neural networks.” Communi. ACM 60 (6): 84–90. https://doi.org/10.1145/3065386.
Lazebnik, S., C. Schmid, and J. Ponce. 2006. “Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories.” In Vol. 2 of Proc., IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR’06), 2169–2178. New York: IEEE. http://ieeexplore.ieee.org/document/1641019/.
Pan, S. J., and Q. Yang. 2010. “A survey on transfer learning.” IEEE Trans. Knowl. Data Eng. 22 (10): 1345–1359. https://doi.org/10.1109/TKDE.2009.191.
Pu, H., H. Zhang, P. Schonfeld, W. Li, J. Wang, X. Peng, and J. Hu. 2019. “Maximum gradient decision-making for railways based on convolutional neural network.” J. Transp. Eng. Part A: Syst. 145 (11): 04019047. https://doi.org/10.1061/JTEPBS.0000272.
Sermanet, P., D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. Lecun. 2013. “O-verFeat: Integrated recognition, localization and detection using convolutional networks.” In Proc., 2nd Int. Conf. on Learning Representations, ICLR 2014—Conf. Track. New York: Cornell Univ. http://arxiv.org/abs/1312.6229.
Zeiler, M., and R. Fergus. 2014. “Visualizing and understanding convolutional networks.” In Proc., Computer Vision—ECCV 2014, 818–833. Cham, Switzerland: Springer International Publishing. https://doi.org/10.1007/978-3-319-10590-1_53.
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Journal of Transportation Engineering, Part A: Systems
Volume 147 • Issue 4 • April 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Nov 22, 2019
Accepted: May 18, 2020
Published online: Jan 20, 2021
Published in print: Apr 1, 2021
Discussion open until: Jun 20, 2021
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