Instructor
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| Xavier Giro-i-Nieto (XG) |
Slides
Video Lecture
(to be added)
Related Work & Resources
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Xavier Giro-i-Nieto, “Deep Convnets for Global Scale Recognition”. Master in Computer Vision Barcelona. March 2016.
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Russakovsky, Olga, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang et al. “Imagenet large scale visual recognition challenge.” International Journal of Computer Vision 115, no. 3 (2015): 211-252.
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Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. “Imagenet classification with deep convolutional neural networks.” In Advances in neural information processing systems, pp. 1097-1105. 2012.
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Simonyan, Karen, and Andrew Zisserman. “Very deep convolutional networks for large-scale image recognition.” International Conference on Learning Representations (ICLR). 2015 [video] [slides]
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Szegedy, Christian, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. “Going Deeper With Convolutions.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-9. 2015.
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Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, “Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning” Arxiv 1602.07261.