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Spurious Features Everywhere -- Large-Scale Detection of Harmful
  Spurious Features in ImageNet

Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet

9 December 2022
Yannic Neuhaus
Maximilian Augustin
Valentyn Boreiko
Matthias Hein
    AAML
ArXivPDFHTML

Papers citing "Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet"

6 / 6 papers shown
Title
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
Mishal Fatima
Steffen Jung
M. Keuper
28
0
0
06 May 2025
An interpretable approach to automating the assessment of biofouling in video footage
An interpretable approach to automating the assessment of biofouling in video footage
Evelyn J. Mannix
Bartholomew A. Woodham
56
0
0
17 Mar 2025
Using StyleGAN for Visual Interpretability of Deep Learning Models on
  Medical Images
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
K. Schutte
O. Moindrot
P. Hérent
Jean-Baptiste Schiratti
S. Jégou
FAtt
MedIm
23
53
0
19 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
247
5,813
0
08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1