Dilated Residual Networks

Backpropagation applied to handwritten zip code recognition

Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel · 1989

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Empirical filter estimation for subpixel interpolation and matching

B. Triggs · 2001

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80 million tiny images: A large data set for nonparametric object and scene recognition

A. Torralba, R. Fergus, and W. T. Freeman · 2008

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Context based object categorization: A critical survey

C. Galleguillos and S. J. Belongie · 2010

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ImageNet classification with deep convolutional neural networks

A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012

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Some improvements on deep convolutional neural network based image classification

Original

A. G. Howard · 2013

Earlier work this paper cites.

Hypercolumns for object segmentation and fine-grained localization

B. Hariharan, P. A. Arbeláez, R. B. Girshick, and J. Malik · 2015

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Fully convolutional networks for semantic segmentation

J. Long, E. Shelhamer, and T. Darrell · 2015

Cited alongside, same era.

Learning deconvolution network for semantic segmentation

H. Noh, S. Hong, and B. Han · 2015

Cited alongside, same era.

ImageNet large scale visual recognition challenge

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. S. Bernstein, A. C. Berg, and F. Li · 2015

Cited alongside, same era.

Very deep convolutional networks for large-scale image recognition

K. Simonyan and A. Zisserman · 2015

Cited alongside, same era.

Going deeper with convolutions

C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. E. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015

Cited alongside, same era.

DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs

Original

The Cityscapes dataset for semantic urban scene understanding

M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016

Later among the works it cites.

Region-based convolutional networks for accurate object detection and segmentation

R. B. Girshick, J. Donahue, T. Darrell, and J. Malik · 2016

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Deep residual learning for image recognition

K. He, X. Zhang, S. Ren, and J. Sun · 2016

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Multi-scale context aggregation by dilated convolutions

F. Yu and V. Koltun · 2016

Later among the works it cites.

Learning deep features for discriminative localization

B. Zhou, A. Khosla, À. Lapedriza, A. Oliva, and A. Torralba · 2016

Later among the works it cites.

Understanding convolution for semantic segmentation

Original