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In this paper we introduce the TorontoCity benchmark, which covers the full greater Toronto area (GTA) with 712.5 $km^2$ of land, 8439 $km$ of road and around 400,000 buildings.
An iterative procedure for the polygonal approximation of plane curves
U. Ramer · 1972
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The universal transverse mercator grid
W. Brooks · 1973
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Google street view: Capturing the world at street level
D. Anguelov, C. Dulong, D. Filip, C. Frueh, S. Lafon, R. Lyon, A. Ogale, L. Vincent, and J. Weaver · 2010
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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A database and evaluation methodology for optical flow
S. Baker, D. Scharstein, J. Lewis, S. Roth, M. J. Black, and R. Szeliski · 2011
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A naturalistic open source movie for optical flow evaluation
D. J. Butler, J. Wulff, G. B. Stanley, and M. J. Black · 2012
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Are we ready for autonomous driving? the kitti vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Structured forests for fast edge detection
P. Dollár and C. L. Zitnick · 2013
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Nyc3dcars: A dataset of 3d vehicles in geographic context
K. Matzen and N. Snavely · 2013
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Isprs test project on urban classification and 3d building reconstruction
F. Rottensteiner, G. Sohn, M. Gerke, and J. D. Wegner · 2013
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Network in network
M. Lin, Q. Chen, and S. Yan · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Contextual classification of lidar data and building object detection in urban areas
J. Niemeyer, F. Rottensteiner, and U. Soergel · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Deepdriving: Learning affordance for direct perception in autonomous driving
C. Chen, A. Seff, A. Kornhauser, and J. Xiao · 2015
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Scenenet: Understanding real world indoor scenes with synthetic data
A. Handa, V. Patraucean, V. Badrinarayanan, S. Stent, and R. Cipolla · 2015
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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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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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The tum-dlr multimodal earth observation evaluation benchmark
T. Koch, P. d’Angelo, F. Kurz, F. Fraundorfer, P. Reinartz, and M. Korner · 2016
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1 year, 1000km: The oxford robotcar dataset
W. Maddern, G. Pascoe, C. Linegar, and P. Newman · 2016
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Hd maps: Fine-grained road segmentation by parsing ground and aerial images
G. Máttyus, S. Wang, S. Fidler, and R. Urtasun · 2016
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A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
N.Mayer, E.Ilg, P.Häusser, P.Fischer, D.Cremers, A.Dosovitskiy, and T.Brox · 2016
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Enhancing road maps by parsing aerial images around the world
G. Máttyus, S. Wang, S. Fidler, and R. Urtasun · 2015
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Isprs benchmark for multi-platform photogrammetry
F. Nex, M. Gerke, F. Remondino, H. Przybilla, M. Bäumker, and A. Zurhorst · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Holistic 3d scene understanding from a single geo-tagged image
S. Wang, S. Fidler, and R. Urtasun · 2015
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Housecraft: Building houses from rental ads and street views
H. Chu, S. Wang, R. Urtasun, and S. Fidler · 2016
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Playing for data: Ground truth from computer games
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The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes
G. Ros, L. Sellart, J. Materzynska, D. Vazquez, and A. M. Lopez · 2016
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Play and learn: using video games to train computer vision models
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Cataloging public objects using aerial and street-level images-urban trees
J. D. Wegner, S. Branson, D. Hall, K. Schindler, and P. Perona · 2016
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Generic 3d representation via pose estimation and matching
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