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We propose a new approach, named PolyMapper, to circumvent the conventional pixel-wise segmentation of (aerial) images and predict objects in a vector representation directly.
Computer recognition of roads from satellite pictures
Ruzena Bajcsy and Mohamad Tavakoli · 1976
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Detection of roads and linear structures in low-resolution aerial imagery using a multisource knowledge integration technique
Martin A. Fischler, Jay Martin Tenenbaum, and H. C. Wolf · 1981
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Snakes: Active contour models
Michael Kass, Andrew Witkin, and Demetri Terzopoulos · 1988
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Level Set Methods
James Albert Sethian · 1996
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Evaluation of automatic road extraction
Christian Heipke, Hélène Mayer, Christian Wiedemann, and Olivier Jamet · 1997
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A Gibbs Point Process for road extraction from remotely sensed images
Radu Stoica, Xavier Descombes, and Josiane Zerubia · 2004
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Point Processes for unsupervised line network extraction in remote sensing
Caroline Lacoste, Xavier Descombes, and Josiane Zerubia · 2005
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A test of automatic road extraction approaches
Helmut Mayer, Stefan Hinz, Uwe Bacher, and Emmanuel Baltsavias · 2006
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Data fusion of high-resolution satellite imagery and lidar data for automatic building extraction
Gunho Sohn and Ian Dowman · 2007
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OpenStreetMap: User-Generated Street Maps
Mordechai Haklay and Patrick Weber · 2008
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The graph neural network model
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini · 2009
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Automatic detection of residential buildings using lidar data and multispectral imagery
Mohammad Awrangjeb, Mehdi Ravanbakhsh, and Clive S. Fraser · 2010
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Morphological attribute profiles for the analysis of very high resolution images
Mauro Dalla Mura, Jon Atli Benediktsson, Björn Waske, and Lorenzo Bruzzone · 2010
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The Pascal visual object classes (VOC) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Quality Assessment of the French OpenStreetMap Dataset
Jean-Francois Girres and Guillaume Touya · 2010
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How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets
Mordechai Haklay · 2010
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Learning to detect roads in high-resolution aerial images
Volodymyr Mnih and Geoffrey E. Hinton · 2010
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Network snakes: graph-based object delineation with active contour models
Matthias Butenuth and Christian Heipke · 2012
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Network Snakes for Adapting GIS Roads to Height Data of Different Data Sources - Performance Analysis Using ALS Data and Stereo Images
Jens C Goepfert, Franz Rottensteiner, and Christian Heipke · 2012
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Learning to label aerial images from noisy data
Volodymyr Mnih and Geoffrey E. Hinton · 2012
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Beyond hand-crafted features in remote sensing
Piotr Tokarczyk, Jan Dirk Wegner, Stefan Walk, and Konrad Schindler · 2013
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A higher-order crf model for road network extraction
Jan Dirk Wegner, Javier A. Montoya-Zegarra, and Konrad Schindler · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Learning to refine object segments
Pedro O Pinheiro, Tsung-Yi Lin, Ronan Collobert, and Piotr Dollár · 2016
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Annotating object instances with a polygon-rnn
Lluis Castrejon, Kaustav Kundu, Raquel Urtasun, and Sanja Fidler · 2017
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Learning aerial image segmentation from online maps
Pascal Kaiser, Jan Dirk Wegner, Aurélien Lucchi, Martin Jaggi, Thomas Hofmann, and Konrad Schindler · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, and Serge J. Belongie · 2017
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Deeproadmapper: Extracting road topology from aerial images
Gellert Máttyus, Wenjie Luo, and Raquel Urtasun · 2017
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Image partitioning into convex polygons
Liuyun Duan and Florent Lafarge · 2015
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The PASCAL Visual Object Classes Challenge: A Retrospective
Mark Everingham, S. M. Ali Eslami, Luc Van Gool, Christopher K. I. Williams, John Winn, and Andrew Zisserman · 2015
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Benchmarking classification of earth-observation data: from learning explicit features to convolutional networks
Adrien Lagrange, Bertrand Le Saux, Anne Beaupere, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, and Marin Ferecatu · 2015
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Enhancing road maps by parsing aerial images around the world
Gellért Máttyus, Shenlong Wang, Sanja Fidler, and Raquel Urtasun · 2015
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Semantic segmentation of aerial images in urban areas with class-specific higher-order cliques
Javier A. Montoya-Zegarraa, Jan Dirk Wegner, Lubor Ladickyb, and Konrad Schindlera · 2015
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Effective semantic pixel labelling with convolutional networks and conditional random fields
Sakrapee Paisitkriangkrai, Jamie Sherrah, Pranam Janney, and Anton van den Hengel · 2015
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Dense semantic labeling of subdecimeter resolution images with convolutional neural networks
Michele Volpi and Devis Tuia · 2017
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Efficient interactive annotation of segmentation datasets with polygon-rnn++
David Acuna, Huan Ling, Amlan Kar, and Sanja Fidler · 2018
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