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Playing for Data: Ground Truth from Computer Games

Playing for Data: Ground Truth from Computer Games

7 August 2016
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
    VLM
ArXivPDFHTML

Papers citing "Playing for Data: Ground Truth from Computer Games"

50 / 437 papers shown
Title
AutoDRIVE -- Technical Report
AutoDRIVE -- Technical Report
Tanmay Vilas Samak
Chinmay Vilas Samak
28
8
0
15 Nov 2022
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain
  Adaptative Semantic Segmentation
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
Mu Chen
Zhedong Zheng
Yi Yang
Tat-Seng Chua
53
53
0
14 Nov 2022
Synthetic Data Supervised Salient Object Detection
Synthetic Data Supervised Salient Object Detection
Zhenyu Wu
Lin Wang
Wei Wang
Tengfei Shi
Chenglizhao Chen
Aimin Hao
Shuo Li
39
22
0
25 Oct 2022
Is synthetic data from generative models ready for image recognition?
Is synthetic data from generative models ready for image recognition?
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Philip Torr
Song Bai
Xiaojuan Qi
55
290
0
14 Oct 2022
Synthetic-to-real Composite Semantic Segmentation in Additive
  Manufacturing
Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing
Aliaksei L. Petsiuk
Harnoor Singh
Himanshu Dadhwal
Joshua M. Pearce
29
5
0
14 Oct 2022
Human Body Measurement Estimation with Adversarial Augmentation
Human Body Measurement Estimation with Adversarial Augmentation
Nataniel Ruiz
Míriam Bellver
Timo Bolkart
Ambuj Arora
Ming-Chia Lin
Javier Romero
Raj Bala
3DH
41
3
0
11 Oct 2022
Semantic Segmentation under Adverse Conditions: A Weather and
  Nighttime-aware Synthetic Data-based Approach
Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach
Abdulrahman Kerim
Felipe C. Chamone
W. Ramos
Leandro Soriano Marcolino
Erickson R. Nascimento
Richard M. Jiang
65
9
0
11 Oct 2022
GTAV-NightRain: Photometric Realistic Large-scale Dataset for Night-time
  Rain Streak Removal
GTAV-NightRain: Photometric Realistic Large-scale Dataset for Night-time Rain Streak Removal
Fan Zhang
Shaodi You
Yu Li
Ying Fu
62
6
0
10 Oct 2022
IDPL: Intra-subdomain adaptation adversarial learning segmentation
  method based on Dynamic Pseudo Labels
IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels
Xuewei Li
Weilun Zhang
Jie Gao
Xuzhou Fu
Jian Yu
24
2
0
07 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain
  Adaptation in Clustered Federated Learning
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
Donald Shenaj
Eros Fani
Marco Toldo
Debora Caldarola
A. Tavera
Umberto Michieli
Marco Ciccone
Pietro Zanuttigh
Barbara Caputo
FedML
36
39
0
05 Oct 2022
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels
Shengjie Liu
Chuanglu Zhu
Wenqi Tang
38
0
0
05 Oct 2022
MLink: Linking Black-Box Models from Multiple Domains for Collaborative
  Inference
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
Mu Yuan
Lan Zhang
Zimu Zheng
Yi-Nan Zhang
Xiang-Yang Li
35
2
0
28 Sep 2022
Learning to Relight Portrait Images via a Virtual Light Stage and
  Synthetic-to-Real Adaptation
Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation
Yu-Ying Yeh
Koki Nagano
S. Khamis
Jan Kautz
Xuan Li
Ting-Chun Wang
3DH
36
59
0
21 Sep 2022
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
Yu-Ting Yen
Chia-Ni Lu
Wei-Chen Chiu
Yi-Hsuan Tsai
MDE
30
10
0
19 Sep 2022
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
Lin Chen
Zhixiang Wei
Xin Jin
H. Chen
Miao Zheng
Kaikang Chen
Yi-jing Jin
40
37
0
16 Sep 2022
Learning from Future: A Novel Self-Training Framework for Semantic
  Segmentation
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
Ye Du
Yujun Shen
Haochen Wang
Jingjing Fei
Wei Li
Liwei Wu
Rui Zhao
Zehua Fu
Qingjie Liu
47
29
0
15 Sep 2022
Evaluating a GAN for enhancing camera simulation for robotics
Evaluating a GAN for enhancing camera simulation for robotics
A. Elmquist
R. Serban
Dan Negrut
GAN
33
2
0
14 Sep 2022
Unpaired Image Translation via Vector Symbolic Architectures
Unpaired Image Translation via Vector Symbolic Architectures
Justin D. Theiss
Jay Leverett
Daeil Kim
Aayush Prakash
39
26
0
06 Sep 2022
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities
Fabian Herzog
Jun-Liang Chen
Torben Teepe
Johannes Gilg
S. Hörmann
Gerhard Rigoll
47
16
0
30 Aug 2022
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for
  Semantic Segmentation
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation
Midhun Vayyat
Jaswin Kasi
Anuraag Bhattacharya
Shuaib Ahmed
Rahul Tallamraju
38
18
0
27 Aug 2022
Constraining Pseudo-label in Self-training Unsupervised Domain
  Adaptation with Energy-based Model
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model
Lingsheng Kong
Bo Hu
Xiongchang Liu
Jun Lu
Jane You
Xiaofeng Liu
43
12
0
26 Aug 2022
Consistency Regularization for Domain Adaptation
Consistency Regularization for Domain Adaptation
K. Koh
Basura Fernando
30
3
0
23 Aug 2022
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of
  Semantic Segmentation
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation
Wei Yan
Yeqiang Qian
Chunxiang Wang
Ming Yang
42
17
0
23 Aug 2022
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real
  Generalization
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization
Gilhyun Nam
Gyeongjae Choi
Kyungmin Lee
OOD
25
4
0
22 Aug 2022
A diverse large-scale building dataset and a novel plug-and-play domain
  generalization method for building extraction
A diverse large-scale building dataset and a novel plug-and-play domain generalization method for building extraction
M. Luo
Shunping Ji
Shiqing Wei
25
19
0
22 Aug 2022
Subtype-Aware Dynamic Unsupervised Domain Adaptation
Subtype-Aware Dynamic Unsupervised Domain Adaptation
Xiaofeng Liu
Fangxu Xing
Jane You
Jun Lu
C.-C. Jay Kuo
Xiaofeng Liu
Jonghye Woo
OOD
44
6
0
16 Aug 2022
Domain-invariant Prototypes for Semantic Segmentation
Domain-invariant Prototypes for Semantic Segmentation
Zhengeng Yang
Hongshan Yu
Wei Sun
Li Cheng
Ajmal Mian
60
2
0
12 Aug 2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Sherwin Bahmani
Oliver Hahn
Eduard Zamfir
Nikita Araslanov
Daniel Cremers
Stefan Roth
OOD
TTA
VLM
52
6
0
10 Aug 2022
Object Detection Using Sim2Real Domain Randomization for Robotic
  Applications
Object Detection Using Sim2Real Domain Randomization for Robotic Applications
Dániel Horváth
Gábor Erdös
Z. Istenes
Tomáš Horváth
S. Földi
37
41
0
08 Aug 2022
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision
  Transformers for Panoramic Semantic Segmentation
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
Jiaming Zhang
Kailun Yang
Haowen Shi
Simon Reiß
Kunyu Peng
Chaoxiang Ma
Haodong Fu
Philip H. S. Torr
Kaiwei Wang
Rainer Stiefelhagen
ViT
MDE
41
36
0
25 Jul 2022
Neural-Sim: Learning to Generate Training Data with NeRF
Neural-Sim: Learning to Generate Training Data with NeRF
Yunhao Ge
Harkirat Singh Behl
Lyne Tchapmi
Suriya Gunasekar
Neel Joshi
Ya-heng Song
Xin Eric Wang
Laurent Itti
Vibhav Vineet
37
33
0
22 Jul 2022
PieTrack: An MOT solution based on synthetic data training and
  self-supervised domain adaptation
PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation
Yirui Wang
Shenghua He
Youbao Tang
Jingyu Chen
Hong-Yu Zhou
...
Junjie Liang
Yanxin Huang
Ning Zhang
Ruei-Sung Lin
Mei Han
24
1
0
22 Jul 2022
Synthetic Dataset Generation for Adversarial Machine Learning Research
Synthetic Dataset Generation for Adversarial Machine Learning Research
Xiruo Liu
Shibani Singh
Cory Cornelius
Colin Busho
Mike Tan
Anindya Paul
Jason Martin
AAML
38
2
0
21 Jul 2022
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
Xin Lai
Zhuotao Tian
Xiaogang Xu
Ying-Cong Chen
Shu Liu
Hengshuang Zhao
Liwei Wang
Jiaya Jia
32
45
0
20 Jul 2022
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for
  Open Compound Domain Adaptation in Semantic Segmentation
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation
Fei Pan
S. Hur
Seokju Lee
Junsik Kim
In So Kweon
43
11
0
19 Jul 2022
Adversarial Style Augmentation for Domain Generalized Urban-Scene
  Segmentation
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
Zhun Zhong
Yuyang Zhao
G. Lee
N. Sebe
OOD
38
69
0
11 Jul 2022
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
Zhijie Wang
Masanori Suganuma
Takayuki Okatani
OOD
25
2
0
30 Jun 2022
Distribution Regularized Self-Supervised Learning for Domain Adaptation
  of Semantic Segmentation
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation
Javed Iqbal
H. Rawal
R. Hafiz
Yu-Tseh Chi
Mohsen Ali
29
7
0
20 Jun 2022
DALL-E for Detection: Language-driven Compositional Image Synthesis for
  Object Detection
DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection
Yunhao Ge
Lyne Tchapmi
Brian Nlong Zhao
Neel Joshi
Laurent Itti
Vibhav Vineet
DiffM
ObjD
28
16
0
20 Jun 2022
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape
  Collections
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections
Xianghao Xu
Yifan Ruan
Srinath Sridhar
Daniel E. Ritchie
3DPC
24
14
0
17 Jun 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
Feng Yu
TTA
57
149
0
16 Jun 2022
Balancing Discriminability and Transferability for Source-Free Domain
  Adaptation
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Suvaansh Bhambri
Deepesh Mehta
Shreyas Kulkarni
Varun Jampani
R. Venkatesh Babu
TTA
39
89
0
16 Jun 2022
On the Choice of Data for Efficient Training and Validation of
  End-to-End Driving Models
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models
Marvin Klingner
Konstantin Müller
Mona Mirzaie
Jasmin Breitenstein
Jan-Aike Termöhlen
Tim Fingscheidt
35
4
0
01 Jun 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for
  Autonomous Driving
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta
Aditya Prakash
Bernhard Jaeger
Zehao Yu
Katrin Renz
Andreas Geiger
ViT
104
298
0
31 May 2022
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Wenyu Zhang
Li Shen
Wanyue Zhang
Chuan-Sheng Foo
TTA
64
18
0
30 May 2022
Uncertainty Quantification and Resource-Demanding Computer Vision
  Applications of Deep Learning
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning
Julian Burghoff
Robin Shing Moon Chan
Hanno Gottschalk
Annika Muetze
Tobias Riedlinger
Matthias Rottmann
Marius Schubert
BDL
34
0
0
30 May 2022
RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis
RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis
Jonathan Tremblay
Moustafa Meshry
Alex Evans
Jan Kautz
A. Keller
...
Charles T. Loop
N. Morrical
Koki Nagano
Towaki Takikawa
Stan Birchfield
48
31
0
14 May 2022
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in
  Semantic Segmentation
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation
Daehan Kim
Min-seok Seo
Jinsun Park
Dong-Geol Choi
TTA
45
3
0
30 Apr 2022
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of
  Traversability Prediction for Deployable Autonomous Navigation
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation
Zheng Chen
Durgakant Pushp
Lantao Liu
19
6
0
20 Apr 2022
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Feihu Zhang
V. Koltun
Philip Torr
René Ranftl
Stephan R. Richter
21
6
0
18 Apr 2022
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