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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
Revisiting the Evaluation of Uncertainty Estimation and Its Application
  to Explore Model Complexity-Uncertainty Trade-Off
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off
Yukun Ding
Jinglan Liu
Jinjun Xiong
Yiyu Shi
139
14
0
05 Mar 2019
Visual-based Autonomous Driving Deployment from a Stochastic and
  Uncertainty-aware Perspective
Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective
L. Tai
Peng Yun
Yuying Chen
Congcong Liu
Haoyang Ye
Ming-Yuan Liu
165
0
0
03 Mar 2019
Aggregating explanation methods for stable and robust explainability
Aggregating explanation methods for stable and robust explainability
Laura Rieger
Lars Kai Hansen
AAMLFAtt
327
15
0
01 Mar 2019
Self-supervised Learning for Single View Depth and Surface Normal
  Estimation
Self-supervised Learning for Single View Depth and Surface Normal EstimationIEEE International Conference on Robotics and Automation (ICRA), 2019
Huangying Zhan
C. Weerasekera
Ravi Garg
Ian Reid
MDESSL
226
30
0
01 Mar 2019
Sequential Learning of Visual Tracking and Mapping Using Unsupervised Deep Neural Networks
Youngji Kim
Ayoung Kim
101
0
0
26 Feb 2019
Learning a Deep ConvNet for Multi-label Classification with Partial
  Labels
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand
Nazanin Mehrasa
Greg Mori
SSL
173
261
0
26 Feb 2019
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional
  Generation
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation
Soochan Lee
Junsoo Ha
Gunhee Kim
GAN
150
28
0
25 Feb 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
598
1,209
0
21 Feb 2019
Evaluating model calibration in classification
Evaluating model calibration in classification
Juozas Vaicenavicius
David Widmann
Carl R. Andersson
Fredrik Lindsten
Jacob Roll
Thomas B. Schon
UQCV
363
234
0
19 Feb 2019
ProtoAttend: Attention-Based Prototypical Learning
ProtoAttend: Attention-Based Prototypical Learning
Sercan O. Arik
Tomas Pfister
323
20
0
17 Feb 2019
Towards Self-Supervised High Level Sensor Fusion
Towards Self-Supervised High Level Sensor Fusion
Qadeer Ahmad Khan
Torsten Schön
Patrick Wenzel
SSL
127
3
0
12 Feb 2019
Vulnerable road user detection: state-of-the-art and open challenges
Vulnerable road user detection: state-of-the-art and open challenges
Patrick Mannion
105
13
0
10 Feb 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active
  Acquisition
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
Zizhao Zhang
Adriana Romero
Matthew Muckley
Pascal Vincent
Lin Yang
M. Drozdzal
242
112
0
08 Feb 2019
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems
Ahmed Taha
Yi-Ting Chen
Teruhisa Misu
Abhinav Shrivastava
L. Davis
132
17
0
07 Feb 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley J. Maddox
T. Garipov
Pavel Izmailov
Dmitry Vetrov
A. Wilson
BDLUQCV
723
910
0
07 Feb 2019
Probabilistic Discriminative Learning with Layered Graphical Models
Probabilistic Discriminative Learning with Layered Graphical Models
Yuesong Shen
Tao Wu
Csaba Domokos
Zorah Lähner
BDL
128
2
0
31 Jan 2019
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps
Sascha Wirges
Marcel Reith-Braun
Martin Lauer
Christoph Stiller
3DPC
143
34
0
31 Jan 2019
Uncertainty Quantification in Deep MRI Reconstruction
Uncertainty Quantification in Deep MRI ReconstructionIEEE Transactions on Medical Imaging (TMI), 2019
Vineet Edupuganti
Morteza Mardani
S. Vasanawala
John M. Pauly
UQCV
266
109
0
31 Jan 2019
Deep Active Learning for Efficient Training of a LiDAR 3D Object
  Detector
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
Di Feng
Xiao Wei
Lars Rosenbaum
A. Maki
Klaus C. J. Dietmayer
3DPC
176
93
0
29 Jan 2019
High-Quality Self-Supervised Deep Image Denoising
High-Quality Self-Supervised Deep Image DenoisingNeural Information Processing Systems (NeurIPS), 2019
S. Laine
Tero Karras
J. Lehtinen
Timo Aila
332
384
0
29 Jan 2019
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
Ahmed Taha
Yi-Ting Chen
Xitong Yang
Teruhisa Misu
L. Davis
UQCV
158
9
0
23 Jan 2019
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis
  using deep neural networks
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks
Richard McKinley
Rik Wepfer
F. Aschwanden
L. Grunder
Raphaela Muri
...
M. Reyes
A. Salmen
A. Chan
F. Wagner
Roland Wiest
196
16
0
22 Jan 2019
Certainty Driven Consistency Loss on Multi-Teacher Networks for
  Semi-Supervised Learning
Certainty Driven Consistency Loss on Multi-Teacher Networks for Semi-Supervised Learning
Lu Liu
R. Tan
391
37
0
17 Jan 2019
Joint Spatial and Layer Attention for Convolutional Networks
Joint Spatial and Layer Attention for Convolutional Networks
Tony Joseph
Konstantinos G. Derpanis
F. Qureshi
223
0
0
16 Jan 2019
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
Xin Huang
Stephen G. McGill
B. Williams
L. Fletcher
Guy Rosman
218
78
0
16 Jan 2019
Multi-modal Ensemble Classification for Generalized Zero Shot Learning
Multi-modal Ensemble Classification for Generalized Zero Shot Learning
Rafael Felix
Michele Sasdelli
Ian Reid
G. Carneiro
VLM
129
20
0
15 Jan 2019
Input Prioritization for Testing Neural Networks
Input Prioritization for Testing Neural Networks
Taejoon Byun
Vaibhav Sharma
Abhishek Vijayakumar
Sanjai Rayadurgam
D. Cofer
AAML
134
73
0
11 Jan 2019
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Chao Liu
Liang Feng
Kihwan Kim
S. Narasimhan
Jan Kautz
3DV
246
149
0
09 Jan 2019
A Comprehensive guide to Bayesian Convolutional Neural Network with
  Variational Inference
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference
Kumar Shridhar
F. Laumann
Marcus Liwicki
BDLUQCV
212
206
0
08 Jan 2019
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement
  Learning
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning
Andreas Sedlmeier
Thomas Gabor
Thomy Phan
Lenz Belzner
Claudia Linnhoff-Popien
UQCV
178
27
0
08 Jan 2019
Weakly Supervised Active Learning with Cluster Annotation
Weakly Supervised Active Learning with Cluster Annotation
Fábio Perez
R. Lebret
Karl Aberer
98
10
0
31 Dec 2018
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions
Ehsan Abbasnejad
Qi Wu
Javen Qinfeng Shi
Anton Van Den Hengel
108
20
0
16 Dec 2018
Neural Processes Mixed-Effect Models for Deep Normative Modeling of
  Clinical Neuroimaging Data
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data
S. M. Kia
A. Marquand
132
26
0
12 Dec 2018
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Kohei Watanabe
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
MDE
89
11
0
11 Dec 2018
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL
  Segmentation using Deep CNN
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN
H. P. Do
Yi Guo
A. Yoon
K. Nayak
162
25
0
10 Dec 2018
Improving Semantic Segmentation via Video Propagation and Label
  Relaxation
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Yi Zhu
Karan Sapra
F. Reda
Kevin J. Shih
Shawn D. Newsam
Andrew Tao
Bryan Catanzaro
224
406
0
04 Dec 2018
Knowing what you know in brain segmentation using Bayesian deep neural
  networks
Knowing what you know in brain segmentation using Bayesian deep neural networks
Patrick McClure
Nao Rho
J. Lee
Jakub R. Kaczmarzyk
C. Zheng
Satrajit S. Ghosh
D. Nielson
Adam G. Thomas
P. Bandettini
Francisco Pereira
UQCV3DVBDL
217
57
0
03 Dec 2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Jishnu Mukhoti
Y. Gal
UQCVBDL
267
246
0
30 Nov 2018
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control
  Policies
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies
Keuntaek Lee
Ziyi Wang
Bogdan I. Vlahov
Harleen K. Brar
Evangelos A. Theodorou
BDLUQCV
218
31
0
30 Nov 2018
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View
  Co-Training
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
Ke Wang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
397
145
0
29 Nov 2018
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
Pranav Ganti
Steven L. Waslander
165
28
0
29 Nov 2018
Calibrating Uncertainties in Object Localization Task
Calibrating Uncertainties in Object Localization Task
Buu Phan
Rick Salay
Krzysztof Czarnecki
Vahdat Abdelzad
Taylor Denouden
Sachin Vernekar
UQCV
145
24
0
27 Nov 2018
Probabilistic Object Detection: Definition and Evaluation
Probabilistic Object Detection: Definition and Evaluation
David Hall
Feras Dayoub
John Skinner
Haoyang Zhang
Dimity Miller
Peter Corke
G. Carneiro
A. Angelova
Niko Sünderhauf
UQCV
281
117
0
27 Nov 2018
Deep Bayesian Self-Training
Deep Bayesian Self-Training
Fabio De Sousa Ribeiro
Francesco Calivá
M. Swainson
Kjartan Gudmundsson
Georgios Leontidis
Stefanos D. Kollias
UQCV
162
1
0
26 Nov 2018
Conditional Recurrent Flow: Conditional Generation of Longitudinal
  Samples with Applications to Neuroimaging
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to NeuroimagingIEEE International Conference on Computer Vision (ICCV), 2018
Seong Jae Hwang
Zirui Tao
Won Hwa Kim
Vikas Singh
MedIm
152
13
0
24 Nov 2018
Surrogate-assisted parallel tempering for Bayesian neural learning
Surrogate-assisted parallel tempering for Bayesian neural learningEngineering applications of artificial intelligence (EAAI), 2018
Rohitash Chandra
Konark Jain
Arpit Kapoor
Ashray Aman
BDL
191
8
0
21 Nov 2018
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis
Adam Kortylewski
Mario Wieser
Andreas Morel-Forster
Aleksander Wieczorek
S. Parbhoo
Volker Roth
T. Vetter
GANCVBM
132
11
0
19 Nov 2018
Scalable agent alignment via reward modeling: a research direction
Scalable agent alignment via reward modeling: a research direction
Jan Leike
David M. Krueger
Tom Everitt
Miljan Martic
Vishal Maini
Shane Legg
367
526
0
19 Nov 2018
Uncertainty quantification of molecular property prediction using
  Bayesian neural network models
Uncertainty quantification of molecular property prediction using Bayesian neural network models
Seongok Ryu
Yongchan Kwon
W. Kim
BDL
135
2
0
19 Nov 2018
Quantifying Uncertainties in Natural Language Processing Tasks
Quantifying Uncertainties in Natural Language Processing TasksAAAI Conference on Artificial Intelligence (AAAI), 2018
Yijun Xiao
William Yang Wang
UQCVBDL
206
169
0
18 Nov 2018
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