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Batch Normalization (BN) is a milestone technique in the development of deep learning, enabling various networks to train.
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ImageNet Large Scale Visual Recognition Challenge
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The Kinetics human action video dataset
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Object detection networks on convolutional feature maps
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Mastering the game of go without human knowledge
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Aggregated residual transformations for deep neural networks
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Detectron
R. Girshick, I. Radosavovic, G. Gkioxari, P. Dollár, and K. He · 2018
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DetNet: A backbone network for object detection
Z. Li, C. Peng, G. Yu, X. Zhang, Y. Deng, and J. Sun · 2018
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MegDet: A large mini-batch object detector
C. Peng, T. Xiao, Z. Li, Y. Jiang, X. Zhang, K. Jia, G. Yu, and J. Sun · 2018
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Non-local neural networks
X. Wang, R. Girshick, A. Gupta, and K. He · 2018
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ShuffleNet: An extremely efficient convolutional neural network for mobile devices
X. Zhang, X. Zhou, M. Lin, and J. Sun · 2018
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