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1910.10793
Cited By

We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric
Uncertainty

v1v2 (latest)

We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty

23 October 2019

Carianne Martinez

ArXiv (abs)PDF HTML Github (62★)

Papers citing "We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty"

10 / 10 papers shown

A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation

A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation

Peter H. N. de With

Fons van der Sommen

1.1K

1

0

25 Nov 2024

Bayesian neural networks for predicting uncertainty in full-field
material response

Bayesian neural networks for predicting uncertainty in full-field material response

Lori Graham-Brady

Michael D. Shields

245

16

0

21 Jun 2024

Improving Interpretability of Deep Active Learning for Flood Inundation
Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite
Imagery

Improving Interpretability of Deep Active Learning for Flood Inundation Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite Imagery

271

17

0

29 Apr 2024

Self-Supervised Learning for Organs At Risk and Tumor Segmentation with
Uncertainty Quantification

Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification

Debesh Jha

112

2

0

04 May 2023

GaIA: Graphical Information Gain based Attention Network for Weakly
Supervised Point Cloud Semantic Segmentation

GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022

170

26

0

02 Oct 2022

Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid
Simulations

Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations

Maximilian Mueller

148

3

0

02 May 2022

Comparing Bayesian Models for Organ Contouring in Head and Neck
Radiotherapy

Comparing Bayesian Models for Organ Contouring in Head and Neck Radiotherapy

Nicolas F. Chaves-de-Plaza

Klaus Hildebrandt

180

7

0

01 Nov 2021

A Survey of Uncertainty in Deep Neural Networks

A Survey of Uncertainty in Deep Neural Networks

Cedrique Rovile Njieutcheu Tassi

...

Muhammad Shahzad

557

1,496

0

07 Jul 2021

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

Farhad Pourpanah

Dana Rezazadegan

...

955

2,283

0

12 Nov 2020

Uncertainty-based graph convolutional networks for organ segmentation
refinement

Uncertainty-based graph convolutional networks for organ segmentation refinement

R. Soberanis-Mukul

Nassir Navab

Shadi Albarqouni

160

13

0

05 Jun 2019