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Extreme Image Transformations Affect Humans and Machines Differently

Extreme Image Transformations Affect Humans and Machines Differently

30 November 2022
Girik Malik
Dakarai Crowder
E. Mingolla
    AAML
ArXivPDFHTML

Papers citing "Extreme Image Transformations Affect Humans and Machines Differently"

3 / 3 papers shown
Title
The Challenge of Appearance-Free Object Tracking with Feedforward Neural
  Networks
The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks
Girik Malik
Drew Linsley
Thomas Serre
E. Mingolla
VOT
11
7
0
30 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
244
2,600
0
04 May 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
261
9,134
0
06 Jun 2015
1