ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.03823
  4. Cited By
Learning to Drive from Simulation without Real World Labels

Learning to Drive from Simulation without Real World Labels

10 December 2018
Alex Bewley
J. Rigley
Yuxuan Liu
Jeffrey Hawke
Richard Shen
Vinh-Dieu Lam
Alex Kendall
    OffRL
ArXivPDFHTML

Papers citing "Learning to Drive from Simulation without Real World Labels"

31 / 31 papers shown
Title
On Offline Evaluation of Vision-based Driving Models
On Offline Evaluation of Vision-based Driving Models
Felipe Codevilla
Antonio M. López
V. Koltun
Alexey Dosovitskiy
OffRL
53
103
0
13 Sep 2018
Learning End-to-end Autonomous Driving using Guided Auxiliary
  Supervision
Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision
Ashish Mehta
Adithya Subramanian
A. Subramanian
33
35
0
30 Aug 2018
Video-to-Video Synthesis
Video-to-Video Synthesis
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Guilin Liu
Andrew Tao
Jan Kautz
Bryan Catanzaro
GAN
VGen
91
988
0
20 Aug 2018
Semi-convolutional Operators for Instance Segmentation
Semi-convolutional Operators for Instance Segmentation
David Novotny
Samuel Albanie
Diane Larlus
Andrea Vedaldi
ISeg
64
85
0
27 Jul 2018
Modular Vehicle Control for Transferring Semantic Information Between
  Weather Conditions Using GANs
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs
Patrick Wenzel
Qadeer Ahmad Khan
Daniel Cremers
Laura Leal-Taixé
45
17
0
03 Jul 2018
Learning to Drive in a Day
Learning to Drive in a Day
Alex Kendall
Jeffrey Hawke
David Janz
Przemyslaw Mazur
Daniele Reda
John M. Allen
Vinh-Dieu Lam
Alex Bewley
Amar Shah
95
655
0
01 Jul 2018
Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes
Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes
F. Fuchs
Oliver Groth
Adam R. Kosiorek
Alex Bewley
Markus Wulfmeier
Andrea Vedaldi
Ingmar Posner
33
9
0
14 Jun 2018
Driving Policy Transfer via Modularity and Abstraction
Driving Policy Transfer via Modularity and Abstraction
Matthias Muller
Alexey Dosovitskiy
Guohao Li
V. Koltun
66
224
0
25 Apr 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
122
2,481
0
12 Apr 2018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
Zhang-Wei Hong
Yu-Ming Chen
Shih-Yang Su
Tzu-Yun Shann
Yi-Hsiang Chang
...
Yueh-Chuan Chang
Tsu-Ching Hsiao
Hsin-Wei Hsiao
Sih-Pin Lai
Chun-Yi Lee
53
81
0
01 Feb 2018
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
Jingwei Zhang
L. Tai
Peng Yun
Yufeng Xiong
Ming-Yuan Liu
Joschka Boedecker
Wolfram Burgard
44
122
0
01 Feb 2018
Real-to-Virtual Domain Unification for End-to-End Autonomous Driving
Real-to-Virtual Domain Unification for End-to-End Autonomous Driving
Luona Yang
Xiaodan Liang
Tairui Wang
Eric Xing
48
56
0
10 Jan 2018
Incremental Adversarial Domain Adaptation for Continually Changing
  Environments
Incremental Adversarial Domain Adaptation for Continually Changing Environments
Markus Wulfmeier
Alex Bewley
Ingmar Posner
CLL
44
129
0
20 Dec 2017
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
131
5,146
0
10 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
134
3,000
0
08 Nov 2017
End-to-end Driving via Conditional Imitation Learning
End-to-end Driving via Conditional Imitation Learning
Felipe Codevilla
Matthias Muller
Antonio M. López
V. Koltun
Alexey Dosovitskiy
123
1,067
0
06 Oct 2017
Playing for Benchmarks
Playing for Benchmarks
Stephan R. Richter
Zeeshan Hayder
V. Koltun
74
469
0
21 Sep 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
111
5,554
0
30 Mar 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
212
2,959
0
20 Mar 2017
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain
  Adaptation
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation
Markus Wulfmeier
Alex Bewley
Ingmar Posner
45
81
0
04 Mar 2017
Unsupervised Image-to-Image Translation Networks
Unsupervised Image-to-Image Translation Networks
Ming-Yuan Liu
Thomas Breuel
Jan Kautz
VLM
147
2,732
0
02 Mar 2017
Improved Texture Networks: Maximizing Quality and Diversity in
  Feed-forward Stylization and Texture Synthesis
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
82
793
0
09 Jan 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
308
19,612
0
21 Nov 2016
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
303
4,569
0
13 Nov 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
120
2,006
0
07 Aug 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming-Yuan Liu
Oncel Tuzel
OOD
GAN
84
1,625
0
24 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
67
1,072
0
20 May 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
71
4,163
0
25 Apr 2016
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Eric Tzeng
Coline Devin
Judy Hoffman
Chelsea Finn
Pieter Abbeel
Sergey Levine
Kate Saenko
Trevor Darrell
OOD
74
139
0
23 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.3K
149,842
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.3K
100,213
0
04 Sep 2014
1