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Supervised deep learning often suffers from the lack of sufficient training data.
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3D depth reconstruction from a single still image
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Understanding the difficulty of training deep feedforward neural networks
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Single image depth estimation from predicted semantic labels
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Are we ready for autonomous driving? The KITTI vision benchmark suite
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Depth extraction from video using non-parametric sampling
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2D-to-3D image conversion by learning depth from examples
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ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Indoor segmentation and support inference from RGBD images
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012
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D. Eigen, C. Puhrsch, and R. Fergus · 2014
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FlowNet: Learning optical flow with convolutional networks
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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
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Towards unified depth and semantic prediction from a single image
P. Wang, X. Shen, Z. Lin, S. Cohen, B. Price, and A. Yuille · 2015
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Single-image depth perception in the wild
W. Chen, Z. Fu, D. Yang, and J. Deng · 2016
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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
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Unsupervised cnn for single view depth estimation: Geometry to the rescue
R. Garg, V. Kumar, G. Carneiro, and I. Reid · 2016
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Unsupervised monocular depth estimation with left-right consistency
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs
B. Li, C. Shen, Y. Dai, A. van den Hengel, and M. He · 2015
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Deep convolutional neural fields for depth estimation from a single image
F. Liu, C. Shen, and G. Lin · 2015
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C. Godard, O. Mac Aodha, and G. J. Brostow · 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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Deeper depth prediction with fully convolutional residual networks
I. Laina, C. Rupprecht, V. Belagiannis, F. Tombari, and N. Navab · 2016
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Deep3D: Fully automatic 2D-to-3D video conversion with deep convolutional neural networks
J. Xie, R. Girshick, and A. Farhadi · 2016
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