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Convolutional Neural Networks (CNNs) have achieved comparable error rates to well-trained human on ILSVRC2014 image classification task.
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, David H and Wiesel, Torsten N · 1962
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Backpropagation applied to handwritten zip code recognition
LeCun, Yann, Boser, Bernhard, Denker, John S, Henderson, Donnie, Howard, Richard E, Hubbard, Wayne, and Jackel, Lawrence D · 1989
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Visualizing data using t-SNE
Van der Maaten, Laurens and Hinton, Geoffrey · 2008
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Visualizing higher-layer features of a deep network
Erhan, Dumitru, Bengio, Yoshua, Courville, Aaron, and Vincent, Pascal · 2009
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ImageNet classification with deep convolutional neural networks
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012
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Building high-level features using large scale unsupervised learning
Le, Quoc, Ranzato, Marc’Aurelio, Monga, Rajat, Devin, Matthieu, Chen, Kai, Corrado, Greg, Dean, Jeff, and Ng, Andrew · 2012
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The neural representation benchmark and its evaluation on brain and machine
Cadieu, Charles F, Hong, Ha, Yamins, Dan, Pinto, Nicolas, Majaj, Najib J, and DiCarlo, James J · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, Ross, Donahue, Jeff, Darrell, Trevor, and Malik, Jitendra · 2013
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Deep inside convolutional networks: Visualising image classification models and saliency maps
Simonyan, Karen, Vedaldi, Andrea, and Zisserman, Andrew · 2013
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Spatial pyramid pooling in deep convolutional networks for visual recognition
He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 2014
Cited alongside, same era.
ImageNet Large Scale Visual Recognition Challenge
Russakovsky, Olga, Deng, Jia, Su, Hao, Krause, Jonathan, Satheesh, Sanjeev, Ma, Sean, Huang, Zhiheng, Karpathy, Andrej, Khosla, Aditya, Bernstein, Michael, et al · 2014
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Very deep convolutional networks for large-scale image recognition
Simonyan, Karen and Zisserman, Andrew · 2014
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Going deeper with convolutions
Szegedy, Christian, Liu, Wei, Jia, Yangqing, Sermanet, Pierre, Reed, Scott, Anguelov, Dragomir, Erhan, Dumitru, Vanhoucke, Vincent, and Rabinovich, Andrew · 2014
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DNN Flow: DNN feature pyramid based image matching
Yu, Wei, Yang, Kuiyuan, Bai, Yalong, Yao, Hongxun, and Rui, Yong · 2014
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Visualizing and understanding convolutional networks
Zeiler, Matthew D and Fergus, Rob · 2014
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Mahendran, Aravindh and Vedaldi, Andrea · 2014
Cited alongside, same era.
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