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Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

19 October 2018
Magnus Wrenninge
Jonas Unger
ArXivPDFHTML

Papers citing "Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing"

44 / 44 papers shown
Title
What is the Added Value of UDA in the VFM Era?
What is the Added Value of UDA in the VFM Era?
B. B. Englert
Tommie Kerssies
Gijs Dubbelman
46
0
0
25 Apr 2025
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation
Yachan Guo
Yi Xiao
Danna Xue
Jose Luis Gomez Zurita
Antonio M. López
66
0
0
15 May 2024
WheelPose: Data Synthesis Techniques to Improve Pose Estimation
  Performance on Wheelchair Users
WheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair Users
William Huang
Sam Ghahremani
Siyou Pei
Yang Zhang
34
3
0
25 Apr 2024
Generating Diverse Agricultural Data for Vision-Based Farming
  Applications
Generating Diverse Agricultural Data for Vision-Based Farming Applications
Mikolaj Cieslak
Umabharathi Govindarajan
Alejandro Garcia
Anuradha Chandrashekar
Torsten Hädrich
Aleksander Mendoza-Drosik
D. L. Michels
Soren Pirk
Chia-Chun Fu
Wojciech Palubicki
27
7
0
27 Mar 2024
Attention-based Class-Conditioned Alignment for Multi-Source Domain
  Adaptation of Object Detectors
Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
Atif Belal
Akhil Meethal
Francisco Perdigon Romero
M. Pedersoli
Eric Granger
48
1
0
14 Mar 2024
Investigation of the Impact of Synthetic Training Data in the Industrial
  Application of Terminal Strip Object Detection
Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip Object Detection
Nico Baumgart
Markus Lange-Hegermann
Mike Mücke
23
1
0
06 Mar 2024
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
J. L. Gómez
Manuel Silva
Antonio Seoane
Agnes Borrás
Mario Noriega
Germán Ros
Jose A. Iglesias-Guitian
Antonio M. López
3DPC
70
12
0
19 Dec 2023
Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs
Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs
Artem Savkin
Rachid Ellouze
Nassir Navab
F. Tombari
27
11
0
15 Mar 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
35
50
0
13 Feb 2023
Domain Adaptation of Synthetic Driving Datasets for Real-World
  Autonomous Driving
Domain Adaptation of Synthetic Driving Datasets for Real-World Autonomous Driving
K. Mullick
Harshil Jain
Sanchit Gupta
A. Kale
OOD
28
4
0
08 Feb 2023
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular
  Depth Estimation
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
L. Talker
Aviad Cohen
E. Yosef
Alexandra Dana
Michael Dinerstein
40
6
0
10 Dec 2022
Union-set Multi-source Model Adaptation for Semantic Segmentation
Union-set Multi-source Model Adaptation for Semantic Segmentation
Zongyao Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
21
4
0
06 Dec 2022
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Mehrnaz Sabet
Praveen Palanisamy
Sakshi Mishra
37
4
0
10 Nov 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
60
9
0
11 Oct 2022
Trans2k: Unlocking the Power of Deep Models for Transparent Object
  Tracking
Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking
A. Lukežič
Ziga Trojer
Juan E. Sala Matas
Matej Kristan
ViT
29
6
0
07 Oct 2022
Synthesizing Annotated Image and Video Data Using a Rendering-Based
  Pipeline for Improved License Plate Recognition
Synthesizing Annotated Image and Video Data Using a Rendering-Based Pipeline for Improved License Plate Recognition
Andreas Spruck
Maximilane Gruber
Anatol Maier
Denise Moussa
Jürgen Seiler
Christian Riess
Andre Kaup
44
1
0
28 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
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual
  Environments
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments
Shubham Dokania
A. Subramanian
Manmohan Chandraker
C. V. Jawahar
37
6
0
16 Aug 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
32
89
0
16 Jun 2022
Birds of A Feather Flock Together: Category-Divergence Guidance for
  Domain Adaptive Segmentation
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation
Bo Yuan
Danpei Zhao
Shuai Shao
Zehuan Yuan
Changhu Wang
63
14
0
05 Apr 2022
Ad-datasets: a meta-collection of data sets for autonomous driving
Ad-datasets: a meta-collection of data sets for autonomous driving
Daniel Bogdoll
Felix Schreyer
J. Marius Zöllner
34
16
0
03 Feb 2022
Unsupervised Domain Adaptation for Semantic Image Segmentation: a
  Comprehensive Survey
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey
G. Csurka
Riccardo Volpi
Boris Chidlovskii
OOD
VLM
3DV
65
40
0
06 Dec 2021
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via
  Semantic Prototype-based Contrastive Learning
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning
Binhui Xie
Kejia Yin
Shuang Li
28
11
0
24 Nov 2021
CAR -- Cityscapes Attributes Recognition A Multi-category Attributes
  Dataset for Autonomous Vehicles
CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles
Kareem M. Metwaly
Aerin Kim
E. Branson
V. Monga
37
4
0
16 Nov 2021
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for
  Semantic Segmentation
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
Kwanyong Park
Sanghyun Woo
Inkyu Shin
In So Kweon
OOD
21
36
0
08 Oct 2021
Real Time Monocular Vehicle Velocity Estimation using Synthetic Data
Real Time Monocular Vehicle Velocity Estimation using Synthetic Data
Robert McCraith
Lukás Neumann
Andrea Vedaldi
26
3
0
16 Sep 2021
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
R. Gong
Martin Danelljan
Dengxin Dai
D. Paudel
Ajad Chhatkuli
Feng Yu
Luc Van Gool
41
9
0
10 Sep 2021
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in
  Adverse Weather
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
Martin Hahner
Daniel Gehrig
Dengxin Dai
Luc Van Gool
3DPC
39
144
0
11 Aug 2021
Personalized Image Semantic Segmentation
Personalized Image Semantic Segmentation
Yu Zhang
Chang-Bin Zhang
Peng-Tao Jiang
Mingg-Ming Cheng
Feng Mao
21
4
0
24 Jul 2021
MBAPose: Mask and Bounding-Box Aware Pose Estimation of Surgical
  Instruments with Photorealistic Domain Randomization
MBAPose: Mask and Bounding-Box Aware Pose Estimation of Surgical Instruments with Photorealistic Domain Randomization
Masakazu Yoshimura
M. M. Marinho
K. Harada
M. Mitsuishi
33
5
0
15 Mar 2021
Self-Supervised Real-to-Sim Scene Generation
Self-Supervised Real-to-Sim Scene Generation
Aayush Prakash
Shoubhik Debnath
Jean-Francois Lafleche
Eric Cameracci
Gavriel State
Stan Birchfield
M. Law
35
26
0
30 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
45
368
0
04 Nov 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
21
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
19
59
0
14 Jun 2020
Learning Texture Invariant Representation for Domain Adaptation of
  Semantic Segmentation
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
Myeongjin Kim
H. Byun
OOD
19
275
0
02 Mar 2020
Lake Ice Monitoring with Webcams and Crowd-Sourced Images
Lake Ice Monitoring with Webcams and Crowd-Sourced Images
R. Prabha
Manu Tom
M. Rothermel
E. Baltsavias
Laura Leal-Taixe
Konrad Schindler
27
12
0
18 Feb 2020
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
W. Boerdijk
M. Sundermeyer
M. Durner
Rudolph Triebel
30
8
0
11 Feb 2020
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
Extremely Weak Supervised Image-to-Image Translation for Semantic
  Segmentation
Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation
Samarth Shukla
Luc Van Gool
Radu Timofte
VLM
24
9
0
18 Sep 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
Meta-Sim: Learning to Generate Synthetic Datasets
Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar
Aayush Prakash
Ming Liu
Eric Cameracci
Justin Yuan
Matt Rusiniak
David Acuna
Antonio Torralba
Sanja Fidler
22
247
0
25 Apr 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
41
988
0
21 Feb 2019
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
25
1,529
0
28 Feb 2018
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