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Efficient Ensemble Model Generation for Uncertainty Estimation with
  Bayesian Approximation in Segmentation
v1v2 (latest)

Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation

21 May 2020
Hong Joo Lee
S. T. Kim
Hakmin Lee
Nassir Navab
Yong Man Ro
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation"

4 / 4 papers shown
Uncertainty evaluation of segmentation models for Earth observation
Uncertainty evaluation of segmentation models for Earth observation
Melanie Rey
Andriy Mnih
Maxim Neumann
Matt Overlan
Drew Purves
UQCV
249
1
0
22 Oct 2025
Uncertainty estimates for semantic segmentation: providing enhanced
  reliability for automated motor claims handling
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handlingMachine Vision and Applications (MVA), 2024
Jan Küchler
Daniel Kröll
S. Schoenen
Andreas Witte
UQCV
226
3
0
17 Jan 2024
Improving Video Instance Segmentation by Light-weight Temporal
  Uncertainty Estimates
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty EstimatesIEEE International Joint Conference on Neural Network (IJCNN), 2020
Kira Maag
Matthias Rottmann
Serin Varghese
Fabian Hüger
Peter Schlicht
Hanno Gottschalk
UQCV
336
13
0
14 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and ChallengesInformation Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
1.2K
2,489
0
12 Nov 2020
1
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