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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
A Saliency-based Clustering Framework for Identifying Aberrant
  Predictions
A Saliency-based Clustering Framework for Identifying Aberrant Predictions
A. Tersol Montserrat
Alexander R. Loftus
Yael Daihes
238
0
0
11 Nov 2023
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable
  Uncertainty
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable UncertaintyIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Rémi Marsal
F. Chabot
Angélique Loesch
William Grolleau
H. Sahbi
MDEUQCV
237
17
0
10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via
  Distance-Based Regularization
Improvements on Uncertainty Quantification for Node Classification via Distance-Based RegularizationNeural Information Processing Systems (NeurIPS), 2023
Russell Hart
Linlin Yu
Yifei Lou
Feng Chen
UQCV
252
6
0
10 Nov 2023
Active Transfer Learning for Efficient Video-Specific Human Pose
  Estimation
Active Transfer Learning for Efficient Video-Specific Human Pose Estimation
Hiromu Taketsugu
Norimichi Ukita
183
6
0
08 Nov 2023
Initialisation of Autonomous Aircraft Visual Inspection Systems via
  CNN-Based Camera Pose Estimation
Initialisation of Autonomous Aircraft Visual Inspection Systems via CNN-Based Camera Pose EstimationIEEE International Conference on Robotics and Automation (ICRA), 2021
Xueyan Oh
Leonard Kin Yung Loh
Shaohui Foong
Zhong Bao Andy Koh
Kow Leong Ng
Poh Kang Tan
Pei Lin Pearlin Toh
U-Xuan Tan
117
1
0
06 Nov 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via
  Fine-grained Reward Maximization
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward MaximizationNeural Information Processing Systems (NeurIPS), 2023
Hongzheng Yang
Cheng Chen
Yueyao Chen
Markus Scheppach
Hon-Chi Yip
Qi Dou
EDLUQCV
201
11
0
05 Nov 2023
Uncertainty Quantification of Deep Learning for Spatiotemporal Data:
  Challenges and Opportunities
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities
Wenchong He
Zhe Jiang
248
1
0
04 Nov 2023
Equal Opportunity of Coverage in Fair Regression
Equal Opportunity of Coverage in Fair RegressionNeural Information Processing Systems (NeurIPS), 2023
Fangxin Wang
Lu Cheng
Ruocheng Guo
Kay Liu
Philip S. Yu
396
18
0
03 Nov 2023
Conformal Policy Learning for Sensorimotor Control Under Distribution
  Shifts
Conformal Policy Learning for Sensorimotor Control Under Distribution ShiftsIEEE International Conference on Robotics and Automation (ICRA), 2023
Huang Huang
Satvik Sharma
Antonio Loquercio
Anastasios Nikolas Angelopoulos
Kenneth Y. Goldberg
Jitendra Malik
286
8
0
02 Nov 2023
Resilient Multiple Choice Learning: A learned scoring scheme with
  application to audio scene analysis
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysisNeural Information Processing Systems (NeurIPS), 2023
Victor Letzelter
Mathieu Fontaine
Mickaël Chen
Patrick Pérez
S. Essid
Ga¨el Richard
286
14
0
02 Nov 2023
Model Uncertainty based Active Learning on Tabular Data using Boosted
  Trees
Model Uncertainty based Active Learning on Tabular Data using Boosted TreesInternational Conference on AI-ML-Systems (ICA), 2023
Sharath M Shankaranarayana
252
1
0
30 Oct 2023
Out-of-distribution Object Detection through Bayesian Uncertainty
  Estimation
Out-of-distribution Object Detection through Bayesian Uncertainty EstimationFusion (Fusion), 2023
Tianhao Zhang
Shenglin Wang
N. Bouaynaya
R. Calinescu
Lyudmila Mihaylova
OODD
218
2
0
29 Oct 2023
TIC-TAC: A Framework for Improved Covariance Estimation in Deep
  Heteroscedastic Regression
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic RegressionInternational Conference on Machine Learning (ICML), 2023
Megh Shukla
Mathieu Salzmann
Alexandre Alahi
254
5
0
29 Oct 2023
Masked Space-Time Hash Encoding for Efficient Dynamic Scene
  Reconstruction
Masked Space-Time Hash Encoding for Efficient Dynamic Scene ReconstructionNeural Information Processing Systems (NeurIPS), 2023
Feng Wang
Zilong Chen
Guokang Wang
Yafei Song
Huaping Liu
3DGS
257
49
0
26 Oct 2023
A Hybrid Graph Network for Complex Activity Detection in Video
A Hybrid Graph Network for Complex Activity Detection in VideoIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Salman Khan
Izzeddin Teeti
Andrew Bradley
Mohamed Elhoseiny
Fabio Cuzzolin
314
2
0
26 Oct 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent
  Representations
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent RepresentationsNeural Information Processing Systems (NeurIPS), 2023
Tsai Hor Chan
Kin Wai Lau
Jiajun Shen
Guosheng Yin
Lequan Yu
UQCVOOD
232
2
0
25 Oct 2023
Data Optimization in Deep Learning: A Survey
Data Optimization in Deep Learning: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
330
6
0
25 Oct 2023
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
V. SukeshAdiga
Jose Dolz
H. Lombaert
UQCV
243
47
0
24 Oct 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
402
75
0
22 Oct 2023
Cross-attention Spatio-temporal Context Transformer for Semantic
  Segmentation of Historical Maps
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps
Sidi Wu
Yizi Chen
Konrad Schindler
L. Hurni
184
8
0
19 Oct 2023
Learning to Generate Parameters of ConvNets for Unseen Image Data
Learning to Generate Parameters of ConvNets for Unseen Image DataIEEE Transactions on Image Processing (IEEE TIP), 2023
Shiye Wang
Kaituo Feng
Changsheng Li
Ye Yuan
Guoren Wang
304
1
0
18 Oct 2023
Panoptic Out-of-Distribution Segmentation
Panoptic Out-of-Distribution SegmentationIEEE Robotics and Automation Letters (RA-L), 2023
Rohit Mohan
Kiran Kumaraswamy
Juana Valeria Hurtado
Kürsat Petek
Abhinav Valada
248
10
0
18 Oct 2023
Investigating Uncertainty Calibration of Aligned Language Models under
  the Multiple-Choice Setting
Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting
Guande He
Peng Cui
Jianfei Chen
Wenbo Hu
Jun Zhu
239
15
0
18 Oct 2023
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
A Symmetry-Aware Exploration of Bayesian Neural Network PosteriorsInternational Conference on Learning Representations (ICLR), 2023
Olivier Laurent
Emanuel Aldea
Gianni Franchi
BDLUQCV
295
10
0
12 Oct 2023
Multimodal Active Measurement for Human Mesh Recovery in Close Proximity
Multimodal Active Measurement for Human Mesh Recovery in Close ProximityIEEE Robotics and Automation Letters (RA-L), 2023
Takahiro Maeda
Keisuke Takeshita
Norimichi Ukita
Kazuhito Tanaka
359
0
0
12 Oct 2023
PG-NeuS: Robust and Efficient Point Guidance for Multi-View Neural
  Surface Reconstruction
PG-NeuS: Robust and Efficient Point Guidance for Multi-View Neural Surface ReconstructionIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Chen Zhang
Wanjuan Su
Qingshan Xu
Wenbing Tao
3DPC3DV
272
3
0
12 Oct 2023
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual
  Localization
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual LocalizationIEEE International Conference on Robotics and Automation (ICRA), 2023
Le Chen
Weirong Chen
Rui Wang
Marc Pollefeys
UQCV
242
18
0
10 Oct 2023
Deep Learning reconstruction with uncertainty estimation for $γ$
  photon interaction in fast scintillator detectors
Deep Learning reconstruction with uncertainty estimation for γγγ photon interaction in fast scintillator detectorsEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023
Geoffrey Daniel
Mohamed Bahi Yahiaoui
C. Comtat
Sebastien Jan
O. Kochebina
Jean-Marc Martinez
Viktoriya Sergeyeva
Viatcheslav Sharyy
Chi-Hsun Sung
D. Yvon
60
2
0
10 Oct 2023
Adaptive Multi-head Contrastive Learning
Adaptive Multi-head Contrastive LearningEuropean Conference on Computer Vision (ECCV), 2023
Lei Wang
Piotr Koniusz
Tom Gedeon
Liang Zheng
360
9
0
09 Oct 2023
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
351
49
0
09 Oct 2023
Uncertainty quantification for deep learning-based schemes for solving
  high-dimensional backward stochastic differential equations
Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equationsInternational Journal for Uncertainty Quantification (IJUQ), 2023
Lorenc Kapllani
Long Teng
Matthias Rottmann
244
1
0
05 Oct 2023
Assessment of Prediction Intervals Using Uncertainty Characteristics
  Curves
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves
Jirí Navrátil
Benjamin Elder
Matthew Arnold
Soumya Ghosh
P. Sattigeri
116
0
0
04 Oct 2023
ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic
  Scattering
ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering
C. Fanelli
J. Giroux
UQCVBDL
82
4
0
04 Oct 2023
Out-of-Distribution Detection by Leveraging Between-Layer Transformation
  Smoothness
Out-of-Distribution Detection by Leveraging Between-Layer Transformation SmoothnessInternational Conference on Learning Representations (ICLR), 2023
Fran Jelenić
Josip Jukić
Martin Tutek
Mate Puljiz
Jan vSnajder
OODD
284
10
0
04 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection
  Algorithms
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection AlgorithmsInternational Conference on Learning Representations (ICLR), 2023
William Yang
Byron Zhang
Olga Russakovsky
OODD
319
20
0
03 Oct 2023
Unified Uncertainty Calibration
Unified Uncertainty Calibration
Kamalika Chaudhuri
David Lopez-Paz
314
0
0
02 Oct 2023
Skip-Plan: Procedure Planning in Instructional Videos via Condensed
  Action Space Learning
Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space LearningIEEE International Conference on Computer Vision (ICCV), 2023
Zhiheng Li
Wenjia Geng
Muheng Li
Lei Chen
Yansong Tang
Jiwen Lu
Jie Zhou
191
12
0
01 Oct 2023
Stochastic Implicit Neural Signed Distance Functions for Safe Motion
  Planning under Sensing Uncertainty
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing UncertaintyIEEE International Conference on Robotics and Automation (ICRA), 2023
Carlos Quintero-Peña
Wil Thomason
Bo Xiong
Anastasios Kyrillidis
Lydia E. Kavraki
284
11
0
28 Sep 2023
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines
Leonhard F. Feiner
Fernando Navarro
Kerstin Hammernik
Paul Hager
Wenqi Huang
Rafael Azevedo
R. Braren
Georgios Kaissis
MedIm
140
2
0
28 Sep 2023
Uncertainty-Aware Decision Transformer for Stochastic Driving
  Environments
Uncertainty-Aware Decision Transformer for Stochastic Driving EnvironmentsConference on Robot Learning (CoRL), 2023
Zenan Li
Fan Nie
Q. Sun
Fang Da
Hang Zhao
OffRL
357
7
0
28 Sep 2023
Uncertainty Quantification via Neural Posterior Principal Components
Uncertainty Quantification via Neural Posterior Principal ComponentsNeural Information Processing Systems (NeurIPS), 2023
E. Nehme
Omer Yair
T. Michaeli
UQCV
261
21
0
27 Sep 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for
  Depth Estimation
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth EstimationConference on Robot Learning (CoRL), 2023
Zizhang Wu
Zhuozheng Li
Zhi-Gang Fan
Yunzhe Wu
Xiaoquan Wang
Rui Tang
Jian Pu
318
2
0
26 Sep 2023
Tiled Multiplane Images for Practical 3D Photography
Tiled Multiplane Images for Practical 3D PhotographyIEEE International Conference on Computer Vision (ICCV), 2023
Numair Khan
Douglas Lanman
Lei Xiao
258
14
0
25 Sep 2023
Learning to Abstain From Uninformative Data
Learning to Abstain From Uninformative Data
Yikai Zhang
Songzhu Zheng
M. Dalirrooyfard
Pengxiang Wu
Anderson Schneider
Anant Raj
Yuriy Nevmyvaka
Chao Chen
164
2
0
25 Sep 2023
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation
  for Earth System Science Applications
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsArtificial Intelligence for the Earth Systems (AI4ES), 2023
John S. Schreck
D. Gagne
Charlie Becker
William E. Chapman
K. Elmore
...
Vanessa M. Pryzbylo
Jacob T. Radford
B. Saavedra
Justin Willson
Christopher D. Wirz
BDLUDOODUQCVEDL
326
21
0
22 Sep 2023
Evidential uncertainty sampling for active learning
Evidential uncertainty sampling for active learning
A. Hoarau
V. Lemaire
Arnaud Martin
Jean-Christophe Dubois
Y. Gall
UQCVEDLPERUD
204
1
0
21 Sep 2023
Uncertainty-driven Exploration Strategies for Online Grasp Learning
Uncertainty-driven Exploration Strategies for Online Grasp LearningIEEE International Conference on Robotics and Automation (ICRA), 2023
Yitian Shi
Philipp Schillinger
Miroslav Gabriel
Alexander Kuss
Zohar Feldman
Hanna Ziesche
Ngo Anh Vien
OffRLOnRL
239
4
0
21 Sep 2023
Neural Stochastic Screened Poisson Reconstruction
Neural Stochastic Screened Poisson ReconstructionACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2023
Silvia Sellán
Alec Jacobson
3DV
217
10
0
21 Sep 2023
Using AI Uncertainty Quantification to Improve Human Decision-Making
Using AI Uncertainty Quantification to Improve Human Decision-MakingInternational Conference on Machine Learning (ICML), 2023
L. Marusich
J. Bakdash
Yan Zhou
Murat Kantarcioglu
297
12
0
19 Sep 2023
NDDepth: Normal-Distance Assisted Monocular Depth Estimation
NDDepth: Normal-Distance Assisted Monocular Depth EstimationIEEE International Conference on Computer Vision (ICCV), 2023
Shuwei Shao
Z. Pei
Weihai Chen
Xingming Wu
Zhengguo Li
MDE
329
70
0
19 Sep 2023
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