Robust Semantic Segmentation with Ladder-DenseNet Models

Are we ready for autonomous driving? the kitti vision benchmark suite

A. Geiger, P. Lenz, and R. Urtasun · 2012

Earlier work this paper cites.

Adam: A method for stochastic optimization

Original

D. P. Kingma and J. Ba · 2014

Earlier work this paper cites.

From neural PCA to deep unsupervised learning

Original

H. Valpola · 2014

Earlier work this paper cites.

The cityscapes dataset

M. Cordts, M. Omran, S. Ramos, T. Scharwächter, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2015

Earlier work this paper cites.

U-net: Convolutional networks for biomedical image segmentation

Original

O. Ronneberger, P. Fischer, and T. Brox · 2015

Earlier work this paper cites.

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. Bernstein, A. C. Berg, and L. Fei-Fei · 2015

Cited alongside, same era.

Densely connected convolutional networks

G. Huang, Z. Liu, and K. Q. Weinberger · 2016

Cited alongside, same era.

Feature pyramid networks for object detection

Original

T. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie · 2016

Cited alongside, same era.

Scannet: Richly-annotated 3d reconstructions of indoor scenes

A. Dai, A. X. Chang, M. Savva, M. Halber, T. Funkhouser, and M. Nießner · 2017

Cited alongside, same era.

A baseline for detecting misclassified and out-of-distribution examples in neural networks

D. Hendrycks and K. Gimpel · 2017

Later among the works it cites.

What uncertainties do we need in bayesian deep learning for computer vision?

A. Kendall and Y. Gal · 2017

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Ladder-style densenets for semantic segmentation of large natural images

I. Kreso, J. Krapac, and S. Segvic · 2017

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Pyramid scene parsing network

H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017

Later among the works it cites.