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. 1610.01983
  4. Cited By
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?

6 October 2016
Matthew Johnson-Roberson
Charlie Barto
Rounak Mehta
S. N. Sridhar
Karl Rosaen
Ram Vasudevan
ArXivPDFHTML

Papers citing "Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?"

24 / 124 papers shown
Title
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Qi Cai
Yingwei Pan
Chong-Wah Ngo
Xinmei Tian
Ling-yu Duan
Ting Yao
ViT
OOD
30
306
0
25 Apr 2019
A Robust Learning Approach to Domain Adaptive Object Detection
A Robust Learning Approach to Domain Adaptive Object Detection
Mehran Khodabandeh
Arash Vahdat
Mani Ranjbar
W. Macready
ObjD
OOD
TTA
16
245
0
04 Apr 2019
Few-shot Adaptive Faster R-CNN
Few-shot Adaptive Faster R-CNN
Tao Wang
Xiaopeng Zhang
Li-xin Yuan
Jiashi Feng
ObjD
23
131
0
22 Mar 2019
OMNIA Faster R-CNN: Detection in the wild through dataset merging and
  soft distillation
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation
Alexandre Ramé
Emilien Garreau
H. Ben-younes
Charles Ollion
ObjD
43
17
0
06 Dec 2018
Deep Semantic Instance Segmentation of Tree-like Structures Using
  Synthetic Data
Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data
Marco Stricker
Olivier Augereau
Stephen Moore
3DPC
18
11
0
08 Nov 2018
Structured Domain Randomization: Bridging the Reality Gap by
  Context-Aware Synthetic Data
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data
Aayush Prakash
Shaad Boochoon
M. Brophy
David Acuna
Eric Cameracci
Gavriel State
Omer Shapira
Stan Birchfield
16
264
0
23 Oct 2018
Scenic: A Language for Scenario Specification and Scene Generation
Scenic: A Language for Scenario Specification and Scene Generation
Daniel J. Fremont
T. Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
S. Seshia
42
246
0
25 Sep 2018
SqueezeSegV2: Improved Model Structure and Unsupervised Domain
  Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Bichen Wu
Xuanyu Zhou
Sicheng Zhao
Xiangyu Yue
Kurt Keutzer
3DPC
15
617
0
22 Sep 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically
  Differentiable Renderer
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Hsueh-Ti Derek Liu
Michael Tao
Chun-Liang Li
Derek Nowrouzezahrai
Alec Jacobson
AAML
39
13
0
08 Aug 2018
Unlimited Road-scene Synthetic Annotation (URSA) Dataset
Unlimited Road-scene Synthetic Annotation (URSA) Dataset
Matt Angus
Mohamed ElBalkini
S. Khan
Ali Harakeh
Oles Andrienko
Cody Reading
Steven Waslander
Krzysztof Czarnecki
OffRL
21
19
0
16 Jul 2018
Learning Object Localization and 6D Pose Estimation from Simulation and
  Weakly Labeled Real Images
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images
Jean-Philippe Mercier
Chaitanya Mitash
Philippe Giguère
Abdeslam Boularias
3DPC
19
10
0
18 Jun 2018
Show, Attend and Translate: Unsupervised Image Translation with
  Self-Regularization and Attention
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention
Chao Yang
Taehwan Kim
Ruizhe Wang
Hao Peng
C.-C. Jay Kuo
28
51
0
16 Jun 2018
Auxiliary Tasks in Multi-task Learning
Auxiliary Tasks in Multi-task Learning
Lukas Liebel
Marco Körner
SSL
19
246
0
16 May 2018
Driving Policy Transfer via Modularity and Abstraction
Driving Policy Transfer via Modularity and Abstraction
Matthias Muller
Alexey Dosovitskiy
Guohao Li
V. Koltun
37
224
0
25 Apr 2018
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by
  Domain Randomization
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Jonathan Tremblay
Aayush Prakash
David Acuna
M. Brophy
Varun Jampani
Cem Anil
Thang To
Eric Cameracci
Shaad Boochoon
Stan Birchfield
OOD
24
807
0
18 Apr 2018
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
Jogendra Nath Kundu
P. Uppala
Anuj Pahuja
R. Venkatesh Babu
MDE
20
185
0
05 Mar 2018
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption
Peilun Li
Xiaodan Liang
Daoyuan Jia
Eric Xing
23
94
0
05 Jan 2018
Procedural Modeling and Physically Based Rendering for Synthetic Data
  Generation in Automotive Applications
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications
Apostolia Tsirikoglou
J. Kronander
Magnus Wrenninge
Jonas Unger
3DV
30
78
0
17 Oct 2017
GeneSIS-RT: Generating Synthetic Images for training Secondary
  Real-world Tasks
GeneSIS-RT: Generating Synthetic Images for training Secondary Real-world Tasks
Gregory J. Stein
Nicholas Roy
30
32
0
11 Oct 2017
Semantic Foggy Scene Understanding with Synthetic Data
Semantic Foggy Scene Understanding with Synthetic Data
Daniel Gehrig
Dengxin Dai
Luc Van Gool
49
1,089
0
25 Aug 2017
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD
  Data of Cluttered Scenes
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes
Pat Marion
Peter R. Florence
Lucas Manuelli
Russ Tedrake
3DV
28
109
0
15 Jul 2017
Failing to Learn: Autonomously Identifying Perception Failures for
  Self-driving Cars
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
M. Ramanagopal
Cyrus Anderson
Ram Vasudevan
Matthew Johnson-Roberson
35
104
0
30 Jun 2017
Safe Trajectory Synthesis for Autonomous Driving in Unforeseen
  Environments
Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments
Shreyas Kousik
S. Vaskov
Matthew Johnson-Roberson
Ram Vasudevan
24
56
0
28 Apr 2017
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OOD
GAN
83
1,529
0
16 Dec 2016
Previous
123