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Probabilistic Regression of Rotations using Quaternion Averaging and a
  Deep Multi-Headed Network

Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network

1 April 2019
Valentin Peretroukhin
Brandon Wagstaff
Matthew Giamou
Jonathan Kelly
ArXivPDFHTML

Papers citing "Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network"

6 / 6 papers shown
Title
Accurate Prediction and Uncertainty Estimation using Decoupled
  Prediction Interval Networks
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks
Kinjal Patel
Steven Waslander
UQCV
25
3
0
19 Feb 2022
CoordiNet: uncertainty-aware pose regressor for reliable vehicle
  localization
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization
Arthur Moreau
Nathan Piasco
D. Tsishkou
B. Stanciulescu
A. de La Fortelle
44
38
0
19 Mar 2021
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose
  Estimation
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
Haowen Deng
Mai Bui
Nassir Navab
Leonidas J. Guibas
Slobodan Ilic
Tolga Birdal
3DH
33
58
0
20 Dec 2020
Relative Camera Pose Estimation Using Convolutional Neural Networks
Relative Camera Pose Estimation Using Convolutional Neural Networks
Iaroslav Melekhov
Juha Ylioinas
Arno Solin
Esa Rahtu
64
197
0
05 Feb 2017
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
278
5,695
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
287
9,167
0
06 Jun 2015
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