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Uncertainty-Aware DNN for Multi-Modal Camera Localization
v1v2 (latest)

Uncertainty-Aware DNN for Multi-Modal Camera Localization

2 November 2022
Matteo Vaghi
Augusto Luis Ballardini
S. Fontana
D. Sorrenti
    UQCVEDL
ArXiv (abs)PDFHTML

Papers citing "Uncertainty-Aware DNN for Multi-Modal Camera Localization"

28 / 28 papers shown
Title
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task
  Uncertainty Estimation
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation
Kürsat Petek
Kshitij Sirohi
Daniel Buscher
Wolfram Burgard
UQCV
95
25
0
20 Oct 2021
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding
  in 2D and 3D
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
Yiyi Liao
Jun Xie
Andreas Geiger
3DV3DPC
84
587
0
28 Sep 2021
Multivariate Deep Evidential Regression
Multivariate Deep Evidential Regression
N. Meinert
Alexander Lavin
BDLPEREDLUQCV
58
21
0
13 Apr 2021
Back to the Feature: Learning Robust Camera Localization from Pixels to
  Pose
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
Paul-Edouard Sarlin
Ajaykumar Unagar
Maans Larsson
Hugo Germain
Carl Toft
...
Marc Pollefeys
Vincent Lepetit
Lars Hammarstrand
Fredrik Kahl
Torsten Sattler
SSL3DPC
76
248
0
16 Mar 2021
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for
  Place Recognition
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
Stephen Hausler
Sourav Garg
Ming Xu
Michael Milford
Tobias Fischer
114
338
0
02 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 Guibas
Slobodan Ilic
Tolga Birdal
3DH
99
58
0
20 Dec 2020
Deep Ensembles: A Loss Landscape Perspective
Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort
Huiyi Hu
Balaji Lakshminarayanan
OODUQCV
121
630
0
05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
526
42,559
0
03 Dec 2019
Deep Evidential Regression
Deep Evidential Regression
Alexander Amini
Wilko Schwarting
A. Soleimany
Daniela Rus
EDLPERBDLUDUQCV
88
440
0
07 Oct 2019
Global visual localization in LiDAR-maps through shared 2D-3D embedding
  space
Global visual localization in LiDAR-maps through shared 2D-3D embedding space
Daniele Cattaneo
Matteo Vaghi
S. Fontana
Augusto Luis Ballardini
D. Sorrenti
46
54
0
02 Oct 2019
CMRNet: Camera to LiDAR-Map Registration
CMRNet: Camera to LiDAR-Map Registration
Daniele Cattaneo
Matteo Vaghi
Augusto Luis Ballardini
S. Fontana
D. Sorrenti
Wolfram Burgard
3DPC
55
69
0
24 Jun 2019
2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point
  Cloud
2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud
Mengdan Feng
Sixing Hu
M. Ang
Gim Hee Lee
3DPC3DV
81
120
0
22 Apr 2019
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
Valentin Peretroukhin
Brandon Wagstaff
Matthew Giamou
Jonathan Kelly
33
11
0
01 Apr 2019
Attention-based Pyramid Aggregation Network for Visual Place Recognition
Attention-based Pyramid Aggregation Network for Visual Place Recognition
Yingying Zhu
Jiong Wang
Lingxi Xie
Liang Zheng
62
82
0
01 Aug 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Volodymyr Kuleshov
Nathan Fenner
Stefano Ermon
BDLUQCV
198
634
0
01 Jul 2018
Evidential Deep Learning to Quantify Classification Uncertainty
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy
Lance M. Kaplan
M. Kandemir
OODUQCVEDLBDL
185
1,000
0
05 Jun 2018
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and
  Odometry
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry
Noha Radwan
Abhinav Valada
Wolfram Burgard
130
241
0
23 Apr 2018
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera
  Pose
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Zhichao Yin
Jianping Shi
MDE
54
1,144
0
06 Mar 2018
RegNet: Multimodal Sensor Registration Using Deep Neural Networks
RegNet: Multimodal Sensor Registration Using Deep Neural Networks
N. Schneider
Florian Piewak
Christoph Stiller
Uwe Franke
72
190
0
11 Jul 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
272
3,135
0
19 May 2017
Geometric Loss Functions for Camera Pose Regression with Deep Learning
Geometric Loss Functions for Camera Pose Regression with Deep Learning
Alex Kendall
R. Cipolla
3DH
129
767
0
02 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
359
4,718
0
15 Mar 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
UQCVBDL
842
5,840
0
05 Dec 2016
NetVLAD: CNN architecture for weakly supervised place recognition
NetVLAD: CNN architecture for weakly supervised place recognition
Relja Arandjelović
Petr Gronát
Akihiko Torii
Tomas Pajdla
Josef Sivic
3DVSSL
122
2,646
0
23 Nov 2015
Modelling Uncertainty in Deep Learning for Camera Relocalization
Modelling Uncertainty in Deep Learning for Camera Relocalization
Alex Kendall
R. Cipolla
BDL
55
540
0
19 Sep 2015
Variational Dropout and the Local Reparameterization Trick
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma
Tim Salimans
Max Welling
BDL
226
1,518
0
08 Jun 2015
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
UQCVBDL
836
9,345
0
06 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
309
25,081
0
30 Apr 2015
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