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Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?

Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?

7 May 2025
Shashank Agnihotri
David Schader
Nico Sharei
Mehmet Ege Kaçar
Margret Keuper
ArXiv (abs)PDFHTML

Papers citing "Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?"

31 / 31 papers shown
Title
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
Jenny Schmalfuss
Victor Oei
Lukas Mehl
Madlen Bartsch
Shashank Agnihotri
Margret Keuper
Andrés Bruhn
56
1
0
14 May 2025
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
Shashank Agnihotri
Amaan Ansari
Annika Dackermann
Fabian Rösch
Margret Keuper
138
0
0
08 May 2025
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
Tejaswini Medi
Steffen Jung
Margret Keuper
AAML
92
3
0
30 Oct 2024
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li
Margret Keuper
Dan Zhang
Anna Khoreva
DiffM
83
12
0
16 Jan 2024
Detection Defenses: An Empty Promise against Adversarial Patch Attacks
  on Optical Flow
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow
Erik Scheurer
Jenny Schmalfuss
Alexander Lis
Andrés Bruhn
AAML
57
6
0
26 Oct 2023
On the unreasonable vulnerability of transformers for image restoration
  -- and an easy fix
On the unreasonable vulnerability of transformers for image restoration -- and an easy fix
Shashank Agnihotri
Kanchana Vaishnavi Gandikota
Julia Grabinski
Paramanand Chandramouli
Margret Keuper
61
9
0
25 Jul 2023
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain
  Generalization
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
Yumeng Li
Dan Zhang
Margret Keuper
Anna Khoreva
102
11
0
02 Jul 2023
InternImage: Exploring Large-Scale Vision Foundation Models with
  Deformable Convolutions
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Wenhai Wang
Jifeng Dai
Zhe Chen
Zhenhang Huang
Zhiqi Li
...
Tong Lu
Lewei Lu
Hongsheng Li
Xiaogang Wang
Yu Qiao
VLM
142
687
0
10 Nov 2022
Intra-Source Style Augmentation for Improved Domain Generalization
Intra-Source Style Augmentation for Improved Domain Generalization
Yumeng Li
Dan Zhang
Margret Keuper
Anna Khoreva
85
33
0
18 Oct 2022
Robust Models are less Over-Confident
Robust Models are less Over-Confident
Julia Grabinski
Paul Gavrikov
J. Keuper
Margret Keuper
AAML
58
25
0
12 Oct 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and
  Boosting Segmentation Robustness
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
Jindong Gu
Hengshuang Zhao
Volker Tresp
Philip Torr
AAML
66
76
0
25 Jul 2022
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
255
2,379
0
02 Dec 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
289
2,841
0
15 Jun 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
316
5,065
0
31 May 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
Robin Shing Moon Chan
Krzysztof Lis
Svenja Uhlemeyer
Hermann Blum
S. Honari
Roland Siegwart
Pascal Fua
Mathieu Salzmann
Matthias Rottmann
UQCV
81
136
0
30 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
463
21,564
0
25 Mar 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
325
703
0
19 Oct 2020
Benchmarking the Robustness of Semantic Segmentation Models
Benchmarking the Robustness of Semantic Segmentation Models
Christoph Kamann
Carsten Rother
VLMUQCV
65
164
0
14 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
101
449
0
17 Jul 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OODVLM
191
3,452
0
28 Mar 2019
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
480
13,178
0
07 Feb 2018
On the Robustness of Semantic Segmentation Models to Adversarial Attacks
On the Robustness of Semantic Segmentation Models to Adversarial Attacks
Anurag Arnab
O. Mikšík
Philip Torr
AAML
98
307
0
27 Nov 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
232
8,488
0
17 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,892
0
17 Apr 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,033
0
04 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.4K
14,608
0
07 Oct 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
406
1,890
0
18 Aug 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,644
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
424
43,814
0
01 May 2014
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