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On the use of Mahalanobis distance for out-of-distribution detection
  with neural networks for medical imaging

On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging

4 September 2023
Harry Anthony
Konstantinos Kamnitsas
ArXivPDFHTML

Papers citing "On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging"

4 / 4 papers shown
Title
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
71
1
0
21 Jun 2024
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
Yue Song
N. Sebe
Wei Wang
OODD
53
52
0
18 Sep 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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
247
9,042
0
06 Jun 2015
1