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Playing for Benchmarks

Playing for Benchmarks

21 September 2017
Stephan R. Richter
Zeeshan Hayder
V. Koltun
ArXivPDFHTML

Papers citing "Playing for Benchmarks"

50 / 122 papers shown
Title
Learning to Navigate Sidewalks in Outdoor Environments
Learning to Navigate Sidewalks in Outdoor Environments
Maks Sorokin
Jie Tan
Karen Liu
Sehoon Ha
28
41
0
12 Sep 2021
Multi-domain semantic segmentation with overlapping labels
Multi-domain semantic segmentation with overlapping labels
Petra Bevandić
Marin Orsic
Ivan Grubišić
Josip Saric
Sinisa Segvic
33
13
0
25 Aug 2021
LabOR: Labeling Only if Required for Domain Adaptive Semantic
  Segmentation
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
Inkyu Shin
Dong-Jin Kim
Jae-Won Cho
Sanghyun Woo
Kwanyong Park
In So Kweon
20
55
0
12 Aug 2021
Unsupervised Domain Adaptation for Video Semantic Segmentation
Unsupervised Domain Adaptation for Video Semantic Segmentation
Inkyu Shin
Kwanyong Park
Sanghyun Woo
In So Kweon
19
11
0
23 Jul 2021
Domain Adaptive Video Segmentation via Temporal Consistency
  Regularization
Domain Adaptive Video Segmentation via Temporal Consistency Regularization
Dayan Guan
Jiaxing Huang
Aoran Xiao
Shijian Lu
24
38
0
23 Jul 2021
A Survey on Deep Learning Technique for Video Segmentation
A Survey on Deep Learning Technique for Video Segmentation
Tianfei Zhou
Fatih Porikli
David J. Crandall
Luc Van Gool
Wenguan Wang
VOS
39
232
0
02 Jul 2021
Learning to Associate Every Segment for Video Panoptic Segmentation
Learning to Associate Every Segment for Video Panoptic Segmentation
Sanghyun Woo
Dahun Kim
Joon-Young Lee
In So Kweon
VOS
33
29
0
17 Jun 2021
4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface
4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface
Yang Li
Hikari Takehara
Takafumi Taketomi
Bo Zheng
Matthias Nießner
25
110
0
05 May 2021
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement
  Learning
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning
Alessandro Paolo Capasso
Paolo Maramotti
Anthony DellÉva
A. Broggi
73
18
0
28 Apr 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
30
105
0
23 Mar 2021
Monocular Depth Estimation through Virtual-world Supervision and
  Real-world SfM Self-Supervision
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
A. Gurram
Ahmet Faruk Tuna
Fengyi Shen
O. Urfalioglu
Antonio M. López
MDE
40
42
0
22 Mar 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
33
26
0
18 Mar 2021
Monocular Quasi-Dense 3D Object Tracking
Monocular Quasi-Dense 3D Object Tracking
Hou-Ning Hu
Yung-Hsu Yang
Tobias Fischer
Trevor Darrell
Feng Yu
Min Sun
3DPC
28
115
0
12 Mar 2021
Self-supervised Geometric Perception
Self-supervised Geometric Perception
Heng Yang
W. Dong
Luca Carlone
V. Koltun
31
36
0
04 Mar 2021
Simple multi-dataset detection
Simple multi-dataset detection
Xingyi Zhou
V. Koltun
Philipp Krahenbuhl
ObjD
236
112
0
25 Feb 2021
Learning to Segment Rigid Motions from Two Frames
Learning to Segment Rigid Motions from Two Frames
Gengshan Yang
Deva Ramanan
122
56
0
11 Jan 2021
Simulating Autonomous Driving in Massive Mixed Urban Traffic
Simulating Autonomous Driving in Massive Mixed Urban Traffic
Yuanfu Luo
Panpan Cai
Yiyuan Lee
David Hsu
22
3
0
11 Nov 2020
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes
Hoàng-Ân Lê
Thomas Mensink
P. Das
Sezer Karaoglu
Theo Gevers
3DV
14
20
0
09 Nov 2020
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene
  Understanding
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
Mike Roberts
Jason Ramapuram
Anurag Ranjan
Atulit Kumar
Miguel Angel Bautista
Nathan Paczan
Russ Webb
Joshua M. Susskind
54
370
0
04 Nov 2020
Video Generative Adversarial Networks: A Review
Video Generative Adversarial Networks: A Review
Nuha Aldausari
Arcot Sowmya
Nadine Marcus
Gelareh Mohammadi
EGVM
21
103
0
04 Nov 2020
MADRaS : Multi Agent Driving Simulator
MADRaS : Multi Agent Driving Simulator
Anirban Santara
S. Rudra
Sree Aditya Buridi
Meha Kaushik
A. Naik
Bharat Kaul
Balaraman Ravindran
28
30
0
02 Oct 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
Reconstructing NBA Players
Reconstructing NBA Players
Luyang Zhu
Konstantinos Rematas
Brian L. Curless
S. M. Seitz
Ira Kemelmacher-Shlizerman
3DH
16
41
0
27 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
Tent: Fully Test-time Adaptation by Entropy Minimization
Tent: Fully Test-time Adaptation by Entropy Minimization
Dequan Wang
Evan Shelhamer
Shaoteng Liu
Bruno A. Olshausen
Trevor Darrell
OOD
40
53
0
18 Jun 2020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
S. Manivasagam
Shenlong Wang
K. Wong
Wenyuan Zeng
Mikita Sazanovich
Shuhan Tan
Binh Yang
Wei-Chiu Ma
R. Urtasun
3DPC
28
222
0
16 Jun 2020
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in
  Crowded Traffic Scenes
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes
Nils Gählert
Silvio
Uwe Franke
Joachim Denzler
ObjD
23
20
0
15 Jun 2020
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection
Nils Gählert
Nicolas Jourdan
Marius Cordts
Uwe Franke
Joachim Denzler
3DPC
21
59
0
14 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
3DPC
29
25
0
08 Jun 2020
RarePlanes: Synthetic Data Takes Flight
RarePlanes: Synthetic Data Takes Flight
Jacob Shermeyer
T. Hossler
A. V. Etten
Daniel Hogan
Ryan Lewis
Daeil Kim
19
105
0
04 Jun 2020
From Real to Synthetic and Back: Synthesizing Training Data for
  Multi-Person Scene Understanding
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding
Igor Kviatkovsky
Nadav Bhonker
Gérard Medioni
33
3
0
03 Jun 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
389
0
07 May 2020
Pedestrian Models for Autonomous Driving Part II: High-Level Models of
  Human Behavior
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior
F. Camara
Nicola Bellotto
S. Coşar
Florian Weber
Dimitris Nathanael
...
Gustav Markkula
Anna Schieben
F. Tango
N. Merat
Charles W. Fox
21
105
0
26 Mar 2020
5D Light Field Synthesis from a Monocular Video
5D Light Field Synthesis from a Monocular Video
K. Bae
Andre Ivan
Hajime Nagahara
I. Park
MDE
35
6
0
23 Dec 2019
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation
  Networks
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks
Kira Maag
Matthias Rottmann
Hanno Gottschalk
29
34
0
12 Nov 2019
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic
Panpan Cai
Yiyuan Lee
Yuanfu Luo
David Hsu
32
78
0
11 Nov 2019
Argoverse: 3D Tracking and Forecasting with Rich Maps
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang
John Lambert
Patsorn Sangkloy
Jagjeet Singh
Sławomir Bąk
...
De Wang
Peter Carr
Simon Lucey
Deva Ramanan
James Hays
3DPC
67
1,279
0
06 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
106
1,132
0
24 Oct 2019
CATER: A diagnostic dataset for Compositional Actions and TEmporal
  Reasoning
CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning
Rohit Girdhar
Deva Ramanan
22
176
0
10 Oct 2019
Deep Model Transferability from Attribution Maps
Deep Model Transferability from Attribution Maps
Mingli Song
Yixin Chen
Xinchao Wang
Chengchao Shen
Xiuming Zhang
27
54
0
26 Sep 2019
Brno Urban Dataset -- The New Data for Self-Driving Agents and Mapping
  Tasks
Brno Urban Dataset -- The New Data for Self-Driving Agents and Mapping Tasks
Adam Ligocki
Ales Jelinek
L. Zalud
22
47
0
15 Sep 2019
Mocycle-GAN: Unpaired Video-to-Video Translation
Mocycle-GAN: Unpaired Video-to-Video Translation
Yang Chen
Yingwei Pan
Ting Yao
Xinmei Tian
Tao Mei
GAN
21
88
0
26 Aug 2019
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video
  Translation
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
Kwanyong Park
Sanghyun Woo
Dahun Kim
Donghyeon Cho
In So Kweon
VGen
33
38
0
21 Aug 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
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
D. Marin
Zijian He
Peter Vajda
Priyam Chatterjee
Sam S. Tsai
Fei Yang
Yuri Boykov
SSeg
21
87
0
16 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
A Survey of Autonomous Driving: Common Practices and Emerging
  Technologies
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Ekim Yurtsever
Jacob Lambert
Alexander Carballo
K. Takeda
58
1,345
0
12 Jun 2019
Does computer vision matter for action?
Does computer vision matter for action?
Brady Zhou
Philipp Krahenbuhl
V. Koltun
LM&Ro
18
107
0
30 May 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
43
989
0
21 Feb 2019
A Parametric Top-View Representation of Complex Road Scenes
A Parametric Top-View Representation of Complex Road Scenes
Ziyan Wang
Buyu Liu
S. Schulter
Manmohan Chandraker
AI4TS
24
44
0
14 Dec 2018
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