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What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
v1v2 (latest)

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

15 March 2017
Alex Kendall
Y. Gal
    BDLOODUDUQCVPER
ArXiv (abs)PDFHTML

Papers citing "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

50 / 2,432 papers shown
Marginally-calibrated deep distributional regression
Marginally-calibrated deep distributional regressionJournal of Computational And Graphical Statistics (JCGS), 2019
Nadja Klein
David J. Nott
M. Smith
UQCV
344
14
0
26 Aug 2019
Eco-Mobility-on-Demand Fleet Control with Ride-Sharing
Eco-Mobility-on-Demand Fleet Control with Ride-Sharing
Xianan Huang
Boqi Li
H. Peng
Joshua A. Auld
Vadim Sokolov
114
8
0
23 Aug 2019
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural
  Networks
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks
Juan Maroñas
Roberto Paredes Palacios
D. Ramos-Castro
UQCVBDL
249
28
0
23 Aug 2019
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive
  Uncertainty and True Error
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True ErrorIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Michel Moukari
Loïc Simon
Sylvaine Picard
F. Jurie
UQCV
139
4
0
20 Aug 2019
A Kings Ransom for Encryption: Ransomware Classification using Augmented
  One-Shot Learning and Bayesian Approximation
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
Amir Atapour-Abarghouei
Stephen Bonner
A. Mcgough
157
8
0
19 Aug 2019
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene
  Flow Estimation of Dynamic Traffic Scenes
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic ScenesIEEE International Conference on Computer Vision (ICCV), 2019
Fabian Brickwedde
Steffen Abraham
Rudolf Mester
MDE
231
53
0
17 Aug 2019
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps
U-CAM: Visual Explanation using Uncertainty based Class Activation MapsIEEE International Conference on Computer Vision (ICCV), 2019
Badri N. Patro
Mayank Lunayach
Shivansh Patel
Vinay P. Namboodiri
FAttUQCV
345
78
0
17 Aug 2019
Entropic Out-of-Distribution Detection
Entropic Out-of-Distribution DetectionIEEE International Joint Conference on Neural Network (IJCNN), 2019
David Macêdo
T. I. Ren
Cleber Zanchettin
Adriano Oliveira
Teresa B Ludermir
OODDUQCV
595
38
0
15 Aug 2019
Bayesian Inference for Large Scale Image Classification
Bayesian Inference for Large Scale Image Classification
Jonathan Heek
Nal Kalchbrenner
UQCVBDL
214
37
0
09 Aug 2019
Adversarial View-Consistent Learning for Monocular Depth Estimation
Adversarial View-Consistent Learning for Monocular Depth EstimationBritish Machine Vision Conference (BMVC), 2019
Yixuan Liu
Yuwang Wang
Shengjin Wang
MDE
162
1
0
04 Aug 2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of
  Domain Shift
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain ShiftGerman Conference on Pattern Recognition (DAGM), 2019
Petra Bevandić
Ivan Kreso
Marin Orsic
Sinisa Segvic
154
86
0
03 Aug 2019
Sampling-free Epistemic Uncertainty Estimation Using Approximated
  Variance Propagation
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance PropagationIEEE International Conference on Computer Vision (ICCV), 2019
Janis Postels
Francesco Ferroni
Huseyin Coskun
Nassir Navab
Federico Tombari
UQCVUDPERBDL
266
149
0
01 Aug 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration
Chen Zhang
Bangti Jin
UQCV
403
12
0
01 Aug 2019
Learning Densities in Feature Space for Reliable Segmentation of Indoor
  Scenes
Learning Densities in Feature Space for Reliable Segmentation of Indoor ScenesIEEE Robotics and Automation Letters (RA-L), 2019
Nicolas Marchal
Charlotte Moraldo
Roland Siegwart
Hermann Blum
Cesar Cadena
Abel Gawel
285
20
0
01 Aug 2019
Physical Cue based Depth-Sensing by Color Coding with Deaberration
  Network
Physical Cue based Depth-Sensing by Color Coding with Deaberration NetworkBritish Machine Vision Conference (BMVC), 2019
Nao Mishima
Tatsuo Kozakaya
Akihisa Moriya
R. Okada
S. Hiura
3DV
126
4
0
01 Aug 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage
  Enhancement
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
Ryutaro Tanno
Daniel E. Worrall
Enrico Kaden
Aurobrata Ghosh
Francesco Grussu
A. Bizzi
S. Sotiropoulos
A. Criminisi
Daniel C. Alexander
MedImDiffM
234
36
0
31 Jul 2019
Unsupervised Domain Adaptation via Calibrating Uncertainties
Unsupervised Domain Adaptation via Calibrating Uncertainties
Ligong Han
Yang Zou
Ruijiang Gao
Lezi Wang
Dimitris N. Metaxas
166
31
0
25 Jul 2019
Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map
  Prediction
Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction
Hamid Hekmatian
Jingfu Jin
S. Al-Stouhi
3DPC3DV
223
4
0
23 Jul 2019
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
Probabilistic Point Cloud Reconstructions for Vertebral Shape AnalysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Anjany Sekuboyina
Markus Rempfler
A. Valentinitsch
M. Löffler
Jan S. Kirschke
Bjoern Menze
3DPC
139
10
0
22 Jul 2019
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for
  Personalized Musculoskeletal Modeling
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal ModelingIEEE Transactions on Medical Imaging (TMI), 2019
Yuta Hiasa
Y. Otake
Masaki Takao
Takeshi Ogawa
Nobuhiko Sugano
Yoshinobu Sato
140
125
0
21 Jul 2019
Mitigating Uncertainty in Document Classification
Mitigating Uncertainty in Document ClassificationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Xuchao Zhang
Fanglan Chen
Chang-Tien Lu
Naren Ramakrishnan
125
47
0
17 Jul 2019
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left
  Atrium Segmentation
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Lequan Yu
Shujun Wang
Xuelong Li
Chi-Wing Fu
Pheng-Ann Heng
UQCV
217
1,077
0
16 Jul 2019
A General Framework for Uncertainty Estimation in Deep Learning
A General Framework for Uncertainty Estimation in Deep LearningIEEE Robotics and Automation Letters (RA-L), 2019
Antonio Loquercio
Mattia Segu
Davide Scaramuzza
UQCVBDLOOD
347
336
0
16 Jul 2019
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep
  Learning Approach
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach
Riyi Qiu
Yugang Jia
M. Hadzikadic
Michael F Dulin
Xi Niu
Xin Wang
BDL
123
7
0
14 Jul 2019
Vector Quantized Bayesian Neural Network Inference for Data Streams
Vector Quantized Bayesian Neural Network Inference for Data StreamsAAAI Conference on Artificial Intelligence (AAAI), 2019
Namuk Park
Taekyu Lee
Songkuk Kim
MQ
165
11
0
12 Jul 2019
Bayesian deep learning with hierarchical prior: Predictions from limited
  and noisy data
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy dataStructural Safety (SS), 2019
Xihaier Luo
A. Kareem
BDLUQCV
99
30
0
08 Jul 2019
Assessing Reliability and Challenges of Uncertainty Estimations for
  Medical Image Segmentation
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Alain Jungo
M. Reyes
UQCV
243
157
0
07 Jul 2019
Learning joint lesion and tissue segmentation from task-specific
  hetero-modal datasets
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasetsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2019
Reuben Dorent
Wenqi Li
J. Ekanayake
Sebastien Ourselin
Tom Vercauteren
136
4
0
07 Jul 2019
Supervised Uncertainty Quantification for Segmentation with Multiple
  Annotations
Supervised Uncertainty Quantification for Segmentation with Multiple AnnotationsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Shi Hu
Daniel E. Worrall
Stefan Knegt
Bastiaan S. Veeling
Henkjan Huisman
Max Welling
UQCV
147
104
0
03 Jul 2019
Instance Segmentation by Jointly Optimizing Spatial Embeddings and
  Clustering Bandwidth
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering BandwidthComputer Vision and Pattern Recognition (CVPR), 2019
D. Neven
Bert De Brabandere
Marc Proesmans
Luc Van Gool
SSegISeg
246
250
0
26 Jun 2019
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Bayesian Uncertainty Matching for Unsupervised Domain AdaptationInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Jun Wen
Nenggan Zheng
Junsong Yuan
Zhefeng Gong
Changyou Chen
OODUQCV
118
55
0
24 Jun 2019
Confidence Calibration for Convolutional Neural Networks Using
  Structured Dropout
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout
Zhilu Zhang
Adrian Dalca
M. Sabuncu
UQCVBDL
185
51
0
23 Jun 2019
Rules of the Road: Predicting Driving Behavior with a Convolutional
  Model of Semantic Interactions
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic InteractionsComputer Vision and Pattern Recognition (CVPR), 2019
Joey Hong
Benjamin Sapp
James Philbin
238
269
0
21 Jun 2019
Efficient Set-Valued Prediction in Multi-Class Classification
Efficient Set-Valued Prediction in Multi-Class Classification
Thomas Mortier
Marek Wydmuch
Krzysztof Dembczyñski
Eyke Hüllermeier
Willem Waegeman
188
4
0
19 Jun 2019
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using
  Intersection-over-Union Loss
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss
Eskil Jörgensen
Christopher Zach
Fredrik Kahl
3DPC
209
77
0
19 Jun 2019
Enhanced Input Modeling for Construction Simulation using Bayesian Deep
  Neural Networks
Enhanced Input Modeling for Construction Simulation using Bayesian Deep Neural NetworksOnline World Conference on Soft Computing in Industrial Applications (WSCIA), 2019
Yitong Li
Wenying Ji
61
5
0
14 Jun 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty
  Estimation
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty EstimationIEEE International Conference on Computer Vision (ICCV), 2019
Lorenzo Bertoni
S. Kreiss
Alexandre Alahi
UQCV
173
122
0
14 Jun 2019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep
  Auto-Regressive Networks
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive NetworksJournal of Computational Physics (JCP), 2019
N. Geneva
N. Zabaras
AI4CE
362
310
0
13 Jun 2019
Generating and Exploiting Probabilistic Monocular Depth Estimates
Generating and Exploiting Probabilistic Monocular Depth EstimatesComputer Vision and Pattern Recognition (CVPR), 2019
Zhihao Xia
Patrick Sullivan
Ayan Chakrabarti
UQCVVLMMDE
182
40
0
13 Jun 2019
Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning
  CNN for Single Image De-Raining
Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-RainingComputer Vision and Pattern Recognition (CVPR), 2019
R. Yasarla
Vishal M. Patel
223
320
0
12 Jun 2019
Non-Parametric Calibration for Classification
Non-Parametric Calibration for ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Jonathan Wenger
Hedvig Kjellström
Rudolph Triebel
UQCV
331
92
0
12 Jun 2019
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet
  Mixture Networks
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks
Qingyang Wu
He Li
Lexin Li
Zhou Yu
BDLUQCV
147
7
0
11 Jun 2019
Analyzing the Role of Model Uncertainty for Electronic Health Records
Analyzing the Role of Model Uncertainty for Electronic Health RecordsACM Conference on Health, Inference, and Learning (CHIL), 2019
Michael W. Dusenberry
Dustin Tran
Edward Choi
Jonas Kemp
Jeremy Nixon
Ghassen Jerfel
Katherine A. Heller
Andrew M. Dai
277
119
0
10 Jun 2019
Evaluating aleatoric and epistemic uncertainties of time series deep
  learning models for soil moisture predictions
Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions
K. Fang
Chaopeng Shen
Daniel Kifer
UD
64
12
0
10 Jun 2019
Attending to Discriminative Certainty for Domain Adaptation
Attending to Discriminative Certainty for Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2019
V. Kurmi
Shanu Kumar
Vinay P. Namboodiri
OOD
209
113
0
08 Jun 2019
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep
  Networks
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep NetworksScientific Reports (Sci Rep), 2019
Aryan Mobiny
H. Nguyen
S. Moulik
Naveen Garg
Carol C. Wu
UQCVBDL
173
180
0
07 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset ShiftNeural Information Processing Systems (NeurIPS), 2019
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
1.1K
1,919
0
06 Jun 2019
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
SSegMedIm
160
13
0
05 Jun 2019
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer
  Vision
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
OODUQCVBDL
285
325
0
04 Jun 2019
Reliable training and estimation of variance networks
Reliable training and estimation of variance networksNeural Information Processing Systems (NeurIPS), 2019
N. Detlefsen
Martin Jørgensen
Søren Hauberg
UQCV
272
96
0
04 Jun 2019
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