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Approaching Test Time Augmentation in the Context of Uncertainty
  Calibration for Deep Neural Networks

Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks

11 April 2023
Pedro Conde
T. Barros
Rui L. Lopes
C. Premebida
U. J. Nunes
    UQCV
ArXivPDFHTML

Papers citing "Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks"

5 / 5 papers shown
Title
Consistency Calibration: Improving Uncertainty Calibration via
  Consistency among Perturbed Neighbors
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors
Linwei Tao
Haolan Guo
Minjing Dong
Chang Xu
UQCV
AAML
15
2
0
16 Oct 2024
Test-Time Augmentation Meets Variational Bayes
Test-Time Augmentation Meets Variational Bayes
Masanari Kimura
Howard Bondell
OOD
BDL
TDI
21
0
0
19 Sep 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object
  Detection
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
A. Benfenati
P. Causin
Hang Yu
Zhedong Zheng
3DPC
42
2
0
01 Aug 2024
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
270
5,660
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
285
9,136
0
06 Jun 2015
1