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The original ImageNet dataset is a popular large-scale benchmark for training Deep Neural Networks.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Alex Krizhevsky and Geoffrey Hinton · 2009
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Systematic evaluation of CNN advances on the ImageNet
Dmytro Mishkin, Nikolay Sergievskiy, and Jiri Matas · 2016
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Sergey Zagoruyko and Nikos Komodakis · 2016
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Shake-shake regularization of 3-branch residual networks
Xavier Gastaldi · 2017
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Lessons learned from manually classifying CIFAR-10, 2011
Andrej Karpathy · 2017
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SGDR: Stochastic Gradient Descent with Restarts
Ilya Loshchilov and Frank Hutter · 2017
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