Rail-5k: a Real-World Dataset for Rail Surface Defects Detection

B-scan ultrasonic image analysis for internal rail defect detection

SNCF Exploitation-Maintenance IEM-RM · 2003

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Imagenet: A large-scale hierarchical image database

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009

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The pascal visual object classes (voc) challenge

Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010

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Microsoft COCO: common objects in context

Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014

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Faster r-cnn: Towards real-time object detection with region proposal networks

Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015

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Deep convolutional neural networks for detection of rail surface defects

Shahrzad Faghih-Roohi, Siamak Hajizadeh, Alfredo Núñez, Robert Babuska, and Bart De Schutter · 2016

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Deep residual learning for image recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016

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You only look once: Unified, real-time object detection

Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, and Ali Farhadi · 2016

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Rethinking atrous convolution for semantic image segmentation

Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017

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A hierarchical extractor-based visual rail surface inspection system

Jinrui Gan, Qingyong Li, Jianzhu Wang, and Haomin Yu · 2017

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Focal loss for dense object detection

Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, and Piotr Dollár · 2017

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Consistency-based semi-supervised active learning: Towards minimizing labeling cost

Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, and Tomas Pfister · 2019

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LVIS: A dataset for large vocabulary instance segmentation

Agrim Gupta, Piotr Dollár, and Ross B. Girshick · 2019

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Benchmarking neural network robustness to common corruptions and perturbations

Benchmarking robustness in object detection: Autonomous driving when winter is coming

Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, and Wieland Brendel · 2019

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Railsem19: A dataset for semantic rail scene understanding

Oliver Zendel, Markus Murschitz, Marcel Zeilinger, Daniel Steininger, Sara Abbasi, and Csaba Beleznai · 2019

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The 1st agriculture-vision challenge: Methods and results

Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs, Naira Hovakimyan, Thomas S Huang, and Honghui Shi · 2020

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Research on deep learning method for rail surface defect detection

Jiang Hua Feng, Hao Yuan, Yun Qing Hu, Jun Lin, Shi Wang Liu, and Xiao Luo · 2020

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The open images dataset v4

Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, et al · 2020

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