Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation

D. Ciregan, U. Meier, and J. Schmidhuber, “Multi-column deep neural networks for image classification,” in Computer Vision and Pattern Recognition (CVPR) . IEEE, 2012, pp. 3642–3649

2012

Earlier work this paper cites.

S. Houben, J. Stallkamp, J. Salmen, M. Schlipsing, and C. Igel, “Detection of traffic signs in real-world images: The german traffic sign detection benchmark,” in Neural Networks (IJCNN) . IEEE, 2013

2013

Earlier work this paper cites.

G. Papandreou, L.-C. Chen, K. P. Murphy, and A. L. Yuille, “Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation,” in Computer Vision (ICCV), 2015 IEEE International Conference on . IEEE, 2015, pp. 1742–1750

2015

Earlier work this paper cites.

M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele, “The cityscapes dataset for semantic urban scene understanding,” in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2016

2016

Earlier work this paper cites.

J. Zhou, Z. Zhou, and L. Zhang, “Hierarchical semantic classification and attribute relations analysis with clothing region detection,” in Advanced Multimedia and Ubiquitous Engineering . Springer, 2016

2016

Earlier work this paper cites.

X. Mao, S. Hijazi, R. Casas, P. Kaul, R. Kumar, and C. Rowen, “Hierarchical cnn for traffic sign recognition,” in Intelligent Vehicles Symposium (IV), 2016 IEEE . IEEE, 2016, pp. 130–135

2016

Cited alongside, same era.

K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 770–778

2016

Cited alongside, same era.

M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, et al. , “Tensorflow: Large-scale machine learning on heterogeneous distributed systems,” arXiv preprint arXiv:1603.04467 , 2016

Original

2016

Cited alongside, same era.

J. Janai, F. Güney, A. Behl, and A. Geiger, “Computer vision for autonomous vehicles: Problems, datasets and state-of-the-art,” CoRR , vol. abs/1704.05519, 2017

Original

2017

Cited alongside, same era.

G. Neuhold, T. Ollmann, S. R. Bulò, and P. Kontschieder, “The mapillary vistas dataset for semantic understanding of street scenes,” in Proceedings of the International Conference on Computer Vision (ICCV), Venice, Italy , 2017, pp. 22–29

2017

Later among the works it cites.

A. Petrovai, A. D. Costea, and S. Nedevschi, “Semi-automatic image annotation of street scenes,” in Intelligent Vehicles Symposium (IV), 2017 IEEE . IEEE, 2017, pp. 448–455

2017

Later among the works it cites.

A. Garcia-Garcia, S. Orts-Escolano, S. Oprea, V. Villena-Martinez, and J. Garcia-Rodriguez, “A review on deep learning techniques applied to semantic segmentation,” arXiv preprint arXiv:1704.06857 , 2017

Original

2017

Later among the works it cites.

L. Ye, Z. Liu, and Y. Wang, “Learning Semantic Segmentation with Diverse Supervision,” arXiv preprint arXiv:1802.00509 , Feb. 2018

Original

2018

Closest in time.