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All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
v1v2 (latest)

All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes

19 December 2023
J. L. Gómez
Manuel Silva
Antonio Seoane
Agnes Borrás
Mario Noriega
Germán Ros
Jose A. Iglesias-Guitian
Antonio M. López
    3DPC
ArXiv (abs)PDFHTML

Papers citing "All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes"

6 / 56 papers shown
Title
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of
  the Art
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
J. Janai
Fatma Guney
Aseem Behl
Andreas Geiger
160
799
0
18 Apr 2017
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated
  Annotations for Real World Tasks?
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
Matthew Johnson-Roberson
Charlie Barto
Rounak Mehta
S. N. Sridhar
Karl Rosaen
Ram Vasudevan
144
623
0
06 Oct 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
126
2,018
0
07 Aug 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
341
18,361
0
02 Jun 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Adrien Gaidon
Qiao Wang
Yohann Cabon
E. Vig
95
1,076
0
20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,685
0
06 Apr 2016
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