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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?"

50 / 125 papers shown
Title
Simulation-to-Reality domain adaptation for offline 3D object annotation
  on pointclouds with correlation alignment
Simulation-to-Reality domain adaptation for offline 3D object annotation on pointclouds with correlation alignment
Weishuang Zhang
Ravi Kiran
T. Gauthier
Yanis Mazouz
Théo Steger
3DPC
19
0
0
06 Feb 2022
Leveraging Synthetic Data in Object Detection on Unmanned Aerial
  Vehicles
Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
Benjamin Kiefer
D. Ott
A. Zell
34
44
0
22 Dec 2021
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
43
14
0
11 Nov 2021
Finding Critical Scenarios for Automated Driving Systems: A Systematic
  Literature Review
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review
Xinhai Zhang
Jianbo Tao
Kaige Tan
Martin Törngren
José Manuel Gaspar Sánchez
...
Magnus Gyllenhammar
F. Wotawa
N. Mohan
Mihai Nica
Hermann Felbinger
35
39
0
16 Oct 2021
Decoupled Adaptation for Cross-Domain Object Detection
Decoupled Adaptation for Cross-Domain Object Detection
Junguang Jiang
Baixu Chen
Jianmin Wang
Mingsheng Long
ObjD
66
64
0
06 Oct 2021
Seeking Similarities over Differences: Similarity-based Domain Alignment
  for Adaptive Object Detection
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
Farzaneh Rezaeianaran
Rakshith Shetty
Rahaf Aljundi
Daniel Olmeda Reino
Shanshan Zhang
Bernt Schiele
OOD
54
77
0
04 Oct 2021
Synergizing between Self-Training and Adversarial Learning for Domain
  Adaptive Object Detection
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir
M. H. Khan
M. Sarfraz
Mohsen Ali
ObjD
15
53
0
01 Oct 2021
Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object
  Detection
Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection
Minjie Cai
Minyi Luo
Xionghu Zhong
Hao Chen
OOD
27
6
0
28 Aug 2021
Self-Adversarial Disentangling for Specific Domain Adaptation
Self-Adversarial Disentangling for Specific Domain Adaptation
Qianyu Zhou
Qiqi Gu
Jiangmiao Pang
Xuequan Lu
Lizhuang Ma
69
49
0
08 Aug 2021
Multilevel Knowledge Transfer for Cross-Domain Object Detection
Multilevel Knowledge Transfer for Cross-Domain Object Detection
Botos Csaba
Xiaojuan Qi
Arslan Chaudhry
P. Dokania
Philip Torr
OOD
32
8
0
02 Aug 2021
SimROD: A Simple Adaptation Method for Robust Object Detection
SimROD: A Simple Adaptation Method for Robust Object Detection
Rindranirina Ramamonjison
Amin Banitalebi-Dehkordi
Xinyu Kang
Xiaolong Bai
Yong Zhang
ObjD
TTA
26
53
0
28 Jul 2021
Exploring Sequence Feature Alignment for Domain Adaptive Detection
  Transformers
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
Wen Wang
Yang Cao
Jing Zhang
Fengxiang He
Zhengjun Zha
Yonggang Wen
Dacheng Tao
ViT
29
94
0
27 Jul 2021
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges,
  Techniques and Datasets
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
Muhammed Muzammul
Xi Li
ObjD
19
11
0
16 Jul 2021
Domain Adaptive YOLO for One-Stage Cross-Domain Detection
Domain Adaptive YOLO for One-Stage Cross-Domain Detection
Shizhao Zhang
H. Tuo
Jian Hu
Z. Jing
ObjD
27
57
0
26 Jun 2021
Attention-based Domain Adaptation for Single Stage Detectors
Attention-based Domain Adaptation for Single Stage Detectors
Vidit Vidit
Mathieu Salzmann
ObjD
35
13
0
14 Jun 2021
Unsupervised Domain Adaptation of Object Detectors: A Survey
Unsupervised Domain Adaptation of Object Detectors: A Survey
Poojan Oza
Vishwanath A. Sindagi
Vibashan Vs
Vishal M. Patel
OOD
ObjD
39
170
0
27 May 2021
Real-time dense 3D Reconstruction from monocular video data captured by
  low-cost UAVs
Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs
M. Hermann
Boitumelo Ruf
M. Weinmann
MDE
11
8
0
21 Apr 2021
AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research
  and Education
AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education
Tanmay Vilas Samak
Chinmay Vilas Samak
Mingjuan Xie
25
26
0
18 Mar 2021
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain
  Adaptive Object Detection
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
VS Vibashan
Vikram Gupta
Poojan Oza
Vishwanath A. Sindagi
Vishal M. Patel
28
182
0
07 Mar 2021
Learning to Segment Human Body Parts with Synthetically Trained Deep
  Convolutional Networks
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
Alessandro Saviolo
Matteo Bonotto
D. Evangelista
Marco Imperoli
Jacopo Lazzaro
Emanuele Menegatti
Alberto Pretto
3DH
21
3
0
02 Feb 2021
Scenic: A Language for Scenario Specification and Data Generation
Scenic: A Language for Scenario Specification and Data Generation
Daniel J. Fremont
Edward J. Kim
T. Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
S. Seshia
29
98
0
13 Oct 2020
Collaborative Training between Region Proposal Localization and
  Classification for Domain Adaptive Object Detection
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection
Ganlong Zhao
Guanbin Li
Ruijia Xu
Liang Lin
ObjD
8
104
0
17 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Bo-wen Li
Han Zhao
...
Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
S. Seshia
Kurt Keutzer
39
264
0
01 Sep 2020
Pixel-wise Crowd Understanding via Synthetic Data
Pixel-wise Crowd Understanding via Synthetic Data
Wang Qi
Junyu Gao
Lin Wei
Yuan. Yuan
33
117
0
30 Jul 2020
Automated Synthetic-to-Real Generalization
Automated Synthetic-to-Real Generalization
Wuyang Chen
Zhiding Yu
Zhangyang Wang
Anima Anandkumar
17
68
0
14 Jul 2020
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
Zhenwei He
Lei Zhang
ObjD
19
133
0
03 Jul 2020
Domain Contrast for Domain Adaptive Object Detection
Domain Contrast for Domain Adaptive Object Detection
Feng Liu
Xiaosong Zhang
Fang Wan
Xiangyang Ji
QiXiang Ye
24
31
0
26 Jun 2020
Domain Adaptation with Morphologic Segmentation
Domain Adaptation with Morphologic Segmentation
Jonathan Klein
Soren Pirk
D. L. Michels
18
0
0
16 Jun 2020
Keep it Simple: Image Statistics Matching for Domain Adaptation
Keep it Simple: Image Statistics Matching for Domain Adaptation
A. Abramov
Christopher Bayer
Claudio Heller
OOD
22
24
0
26 May 2020
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving
Guodong Rong
B. Shin
Hadi Tabatabaee
Q. Lu
Steve Lemke
...
Eric Sterner
Keunhae Ushiroda
Michael Reyes
Dmitry Zelenkovsky
Seonman Kim
26
387
0
07 May 2020
DeepRacing: Parameterized Trajectories for Autonomous Racing
DeepRacing: Parameterized Trajectories for Autonomous Racing
Trent Weiss
Madhur Behl
11
15
0
06 May 2020
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation
Congcong Li
Dawei Du
Libo Zhang
Longyin Wen
Tiejian Luo
Y. Wu
Pengfei Zhu
16
112
0
29 Mar 2020
Cross-domain Detection via Graph-induced Prototype Alignment
Cross-domain Detection via Graph-induced Prototype Alignment
Minghao Xu
Hang Wang
Bingbing Ni
Qi Tian
Wenjun Zhang
ObjD
OOD
27
238
0
28 Mar 2020
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Yangtao Zheng
Di Huang
Songtao Liu
Yunhong Wang
ObjD
168
198
0
23 Mar 2020
iFAN: Image-Instance Full Alignment Networks for Adaptive Object
  Detection
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection
Chenfan Zhuang
Xintong Han
Weilin Huang
Matthew R. Scott
OOD
30
81
0
09 Mar 2020
Unbiased Mean Teacher for Cross-domain Object Detection
Unbiased Mean Teacher for Cross-domain Object Detection
Jinhong Deng
Wen Li
Yuhua Chen
Lixin Duan
79
286
0
02 Mar 2020
Deep Domain Adaptive Object Detection: a Survey
Deep Domain Adaptive Object Detection: a Survey
Wanyi Li
Fuyu Li
Yongkang Luo
Peng Wang
Jia sun
ObjD
19
60
0
17 Feb 2020
Virtual to Real adaptation of Pedestrian Detectors
Virtual to Real adaptation of Pedestrian Detectors
Luca Ciampi
Nicola Messina
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
28
35
0
09 Jan 2020
Unsupervised Domain Adaptation for Object Detection via Cross-Domain
  Semi-Supervised Learning
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning
Fuxun Yu
Di Wang
Yinpeng Chen
Nikolaos Karianakis
Tong Shen
Pei Yu
Dimitrios Lymberopoulos
Sidi Lu
Weisong Shi
Xiang Chen
28
33
0
17 Nov 2019
Curriculum Self-Paced Learning for Cross-Domain Object Detection
Curriculum Self-Paced Learning for Cross-Domain Object Detection
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
N. Sebe
OOD
ObjD
24
71
0
15 Nov 2019
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient
  Detach Based Stacked Complementary Losses
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses
Zhiqiang Shen
Harsh Maheshwari
Weichen Yao
Marios Savvides
ObjD
27
93
0
06 Nov 2019
Soft Prototyping Camera Designs for Car Detection Based on a
  Convolutional Neural Network
Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural Network
Zhenyi Liu
Trisha Lian
J. Farrell
Yuan-Fang Li
14
17
0
24 Oct 2019
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
Martin Hahner
Dengxin Dai
Daniel Gehrig
Jan-Nico Zaech
Luc Van Gool
32
61
0
09 Oct 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Physics-Based Rendering for Improving Robustness to Rain
Physics-Based Rendering for Improving Robustness to Rain
Shirsendu Sukanta Halder
Jean-François Lalonde
Raoul de Charette
20
110
0
27 Aug 2019
Multi-level Domain Adaptive learning for Cross-Domain Detection
Multi-level Domain Adaptive learning for Cross-Domain Detection
Rongchang Xie
Fei Yu
Jiachao Wang
Yizhou Wang
Li Zhang
ObjD
OOD
22
92
0
26 Jul 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when
  Winter is Coming
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis
Benjamin Mitzkus
Robert Geirhos
E. Rusak
Oliver Bringmann
Alexander S. Ecker
Matthias Bethge
Wieland Brendel
3DPC
30
437
0
17 Jul 2019
How much real data do we actually need: Analyzing object detection
  performance using synthetic and real data
How much real data do we actually need: Analyzing object detection performance using synthetic and real data
F. Nowruzi
Prince Kapoor
Dhanvin Kolhatkar
Fahed Al Hassanat
R. Laganière
Julien Rebut
36
77
0
16 Jul 2019
Generating All the Roads to Rome: Road Layout Randomization for Improved
  Road Marking Segmentation
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation
Tom Bruls
Horia Porav
Lars Kunze
Paul Newman
18
6
0
10 Jul 2019
A Regularized Convolutional Neural Network for Semantic Image
  Segmentation
A Regularized Convolutional Neural Network for Semantic Image Segmentation
Fan Jia
Jun Liu
X. Tai
SSeg
13
35
0
28 Jun 2019
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