TSR-TSD.md

Torch blog - GTSRB w. spatial transformer

• J. Stallkamp, M. Schlipsing, J. Salmen, and C. Igel, “The german traffic sign recognition benchmark: A multi-class classification competition,” in Proc. IJCNN, 2011, pp. 1453–1460. [Online]
• J. Stallkamp, M. Schlipsing, J. Salmen, and C. Igel, "Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition,” Neural Netw., vol. 32, pp. 323–332, Aug. 2012. [Online]

** Recognition **

• Sermanet, P. and LeCun, Y. (2011). Traffic sign recognition with multi-scale convolutional networks. In Proceedings of the IEEE International Joint Conference on Neural Networks, pages 2809–2813. IEEE Press.
• Ciresan, D. C., Meier, U., Masci, J., and Schmidhuber, J. (2011). A committee of neural networks for traffic sign classification. In Proceedings of the IEEE International Joint Conference on Neural Networks, pages 1918–1921. IEEE Press
• Zaklouta, F., Stanciulescu, B., and Hamdoun, O. (2011). Traffic sign classification using k-d trees and random forests. In Proceedings of the IEEE International Joint Conference on Neural Networks, pages 2151–2155. IEEE Press.

** Detection **

• M. liang, M. Yuan, X. Hu, J. Li, and H. Liu, “Traffic sign detection by supervised learning of color and shape,” in Proceedings of IEEE International Joint Conference on Neural Networks, 2013.
• M. Mathias, R. Timofte, R. Benenson, and L. V. Gool, “Traffic sign recognition - how far are we from the solution?” in Proceedings of IEEE International Joint Conference on Neural Networks, 2013.
• G. Wang, G. Ren, Z. Wu, Y. Zhao, and L. Jiang, “A robust, coarse-to-fine traffic sign detection method,” in Proceedings of IEEE International Joint Conference on Neural Networks, 2013.

** Survey **

• Traffic Sign Recognition Using Extreme Learning Classifier with Deep Convolutional Features [Paper]
• Negative-Supervised Cascaded Deep Learning for Traffic Sign Classification [Paper]
• Future Computer Vision Algorithms for Traffic Sign Recognition Systems [Paper]
• Traffic Sign Classification Using Deep Inception Based Convolutional Networks [Paper]
• Traffic Sign Recognition Using Deep Convolutional Networks and Extreme Learning Machine [Paper]
• Multi-column deep neural network for traffic sign classification [Paper]
• Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition [Paper]
• An overview of traffic sign detection methods [Paper]
• Traffic sign recognition with multi-scale convolutional networks [Paper]
• Traffic Sign Recognition – How far are we from the solution? [Paper]