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Bridging the Gap between Real-world and Synthetic Images for Testing
  Autonomous Driving Systems

Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems

25 August 2024
Mohammad Hossein Amini
Shiva Nejati
ArXivPDFHTML

Papers citing "Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems"

11 / 11 papers shown
Title
Two is Better Than One: Digital Siblings to Improve Autonomous Driving
  Testing
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing
Matteo Biagiola
Andrea Stocco
Vincenzo Riccio
Paolo Tonella
40
11
0
14 May 2023
When and Why Test Generators for Deep Learning Produce Invalid Inputs:
  an Empirical Study
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study
Vincenzo Riccio
Paolo Tonella
AAML
39
29
0
21 Dec 2022
Model-based Exploration of the Frontier of Behaviours for Deep Learning
  System Testing
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing
Vincenzo Riccio
Paolo Tonella
AAML
20
130
0
06 Jul 2020
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving
  Systems
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems
Husheng Zhou
Wei Li
Yuankun Zhu
Yuqun Zhang
Bei Yu
Lingming Zhang
Cong Liu
AAML
53
176
0
27 Dec 2018
Accelerated Hierarchical Density Clustering
Accelerated Hierarchical Density Clustering
Leland McInnes
John Healy
41
394
0
20 May 2017
Neural Style Transfer: A Review
Neural Style Transfer: A Review
Yongcheng Jing
Yezhou Yang
Zunlei Feng
Jingwen Ye
Yizhou Yu
Xiuming Zhang
60
731
0
11 May 2017
Deep Photo Style Transfer
Deep Photo Style Transfer
Fujun Luan
Sylvain Paris
Eli Shechtman
Kavita Bala
GAN
68
683
0
22 Mar 2017
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
371
8,999
0
10 Jun 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
954
99,991
0
04 Sep 2014
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
213
1,130
0
25 Jul 2012
Building high-level features using large scale unsupervised learning
Building high-level features using large scale unsupervised learning
Quoc V. Le
MarcÁurelio Ranzato
R. Monga
M. Devin
Kai Chen
G. Corrado
J. Dean
A. Ng
SSL
OffRL
CVBM
101
2,268
0
29 Dec 2011
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