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

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"

2 / 2 papers shown
Title
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates
Kira Maag
Matthias Rottmann
Serin Varghese
Fabian Hüger
Peter Schlicht
Hanno Gottschalk
UQCV
119
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 Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
553
2,102
0
12 Nov 2020

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