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2001.06057
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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
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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
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
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
Yuhang Lu
Ru Luo
Touradj Ebrahimi
24
0
0
22 Mar 2022
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
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
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
Bhusan Chettri
Emmanouil Benetos
Bob L. T. Sturm
21
27
0
15 Oct 2020
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
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
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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