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A simple way to make neural networks robust against diverse image
  corruptions

A simple way to make neural networks robust against diverse image corruptions

16 January 2020
E. Rusak
Lukas Schott
Roland S. Zimmermann
Julian Bitterwolf
Oliver Bringmann
Matthias Bethge
Wieland Brendel
ArXivPDFHTML

Papers citing "A simple way to make neural networks robust against diverse image corruptions"

10 / 10 papers shown
Title
Robustness Analysis of Video-Language Models Against Visual and Language
  Perturbations
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Madeline Chantry Schiappa
Shruti Vyas
Hamid Palangi
Y. S. Rawat
Vibhav Vineet
VLM
120
17
0
05 Jul 2022
Large-scale Robustness Analysis of Video Action Recognition Models
Large-scale Robustness Analysis of Video Action Recognition Models
Madeline Chantry Schiappa
Naman Biyani
Prudvi Kamtam
Shruti Vyas
Hamid Palangi
Vibhav Vineet
Y. S. Rawat
AAML
24
24
0
04 Jul 2022
A Novel Framework for Assessment of Learning-based Detectors in
  Realistic Conditions with Application to Deepfake Detection
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection
Yuhang Lu
Ru Luo
Touradj Ebrahimi
24
0
0
22 Mar 2022
3D Common Corruptions and Data Augmentation
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar
Teresa Yeo
Andrei Atanov
Amir Zamir
3DPC
35
107
0
02 Mar 2022
Wiggling Weights to Improve the Robustness of Classifiers
Wiggling Weights to Improve the Robustness of Classifiers
Sadaf Gulshad
Ivan Sosnovik
A. Smeulders
OOD
26
0
0
18 Nov 2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization
  and Input Transformation
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation
Chaithanya Kumar Mummadi
Robin Hutmacher
K. Rambach
Evgeny Levinkov
Thomas Brox
J. H. Metzen
TTA
OOD
27
69
0
28 Jun 2021
Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof
  2017 benchmark
Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark
Bhusan Chettri
Emmanouil Benetos
Bob L. T. Sturm
21
27
0
15 Oct 2020
Fast Differentiable Clipping-Aware Normalization and Rescaling
Fast Differentiable Clipping-Aware Normalization and Rescaling
Jonas Rauber
Matthias Bethge
15
15
0
15 Jul 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
31
457
0
30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
57
1,664
0
29 Jun 2020
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