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The deep Convolutional Neural Network (CNN) is the state-of-the-art solution for large-scale visual recognition.
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Deeply-Supervised Nets
C. Lee, S. Xie, P. Gallagher, Z. Zhang, and Z. Tu · 2015
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Recurrent Convolutional Neural Network for Object Recognition
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ImageNet Large Scale Visual Recognition Challenge
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Deep Residual Learning for Image Recognition
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ImageNet Classification with Deep Convolutional Neural Networks
A. Krizhevsky, I. Sutskever, and G. Hinton · 2012
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Evolutionary Artificial Neural Networks: A Review
S. Ding, H. Li, C. Su, J. Yu, and F. Jin · 2013
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Maxout networks
I. Goodfellow, D. Warde-Farley, M. Mirza, A. Courville, and Y. Bengio · 2013
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Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
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Network in Network
M. Lin, Q. Chen, and S. Yan · 2014
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Deep Networks with Stochastic Depth
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Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
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Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons
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Towards Reversal-Invariant Image Representation
L. Xie, J. Wang, W. Lin, B. Zhang, and Q. Tian · 2016
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DisturbLabel: Regularizing CNN on the Loss Layer
L. Xie, J. Wang, Z. Wei, M. Wang, and Q. Tian · 2016
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InterActive: Inter-Layer Activeness Propagation
L. Xie, L. Zheng, J. Wang, A. Yuille, and Q. Tian · 2016
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Wide Residual Networks
S. Zagoruyko and N. Komodakis · 2016
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Neural architecture search with reinforcement learning
B. Zoph and Q. Le · 2017
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