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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
Adversarial Attacks Against Uncertainty Quantification
Adversarial Attacks Against Uncertainty Quantification
Emanuele Ledda
Daniele Angioni
Giorgio Piras
Giorgio Fumera
Battista Biggio
Fabio Roli
AAML
285
3
0
19 Sep 2023
Uncertainty Estimation in Instance Segmentation with Star-convex Shapes
Uncertainty Estimation in Instance Segmentation with Star-convex ShapesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Qasim M. K. Siddiqui
Sebastian Starke
Peter Steinbach
UQCV
206
2
0
19 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Clement Laroudie
Andrei Bursuc
Mai Lan Ha
Gianni Franchi
VLM
219
6
0
19 Sep 2023
Application-driven Validation of Posteriors in Inverse Problems
Application-driven Validation of Posteriors in Inverse Problems
T. Adler
Jan-Hinrich Nolke
Annika Reinke
M. Tizabi
Sebastian Gruber
...
Lynton Ardizzone
Paul F. Jaeger
Florian Buettner
Ullrich Kothe
Lena Maier-Hein
MedIm
311
2
0
18 Sep 2023
MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential
  Deep Learning
MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep LearningIEEE International Conference on Robotics and Automation (ICRA), 2023
Helbert Paat
Qing Lian
Weilong Yao
Tong Zhang
EDL
264
0
0
18 Sep 2023
Mutual Information-calibrated Conformal Feature Fusion for
  Uncertainty-Aware Multimodal 3D Object Detection at the Edge
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the EdgeIEEE International Conference on Robotics and Automation (ICRA), 2023
Alex C. Stutts
Danilo Erricolo
Sathya Ravi
Theja Tulabandhula
A. R. Trivedi
182
13
0
18 Sep 2023
Rethinking STS and NLI in Large Language Models
Rethinking STS and NLI in Large Language ModelsFindings (Findings), 2023
Yuxia Wang
Minghan Wang
Preslav Nakov
LRM
284
4
0
16 Sep 2023
Conditional validity of heteroskedastic conformal regression
Conditional validity of heteroskedastic conformal regression
Nicolas Dewolf
B. De Baets
Willem Waegeman
151
6
0
15 Sep 2023
A Generative Framework for Self-Supervised Facial Representation
  Learning
A Generative Framework for Self-Supervised Facial Representation Learning
Ruian He
Zhen Xing
Weimin Tan
Bo Yan
DiffM
343
0
0
15 Sep 2023
Sampling-Free Probabilistic Deep State-Space Models
Sampling-Free Probabilistic Deep State-Space Models
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
242
2
0
15 Sep 2023
One-stage Modality Distillation for Incomplete Multimodal Learning
One-stage Modality Distillation for Incomplete Multimodal Learning
Shicai Wei
Yang Luo
Chunbo Luo
216
1
0
15 Sep 2023
Efficiently Robustify Pre-trained Models
Efficiently Robustify Pre-trained ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Nishant Jain
Iit Roorkee
Harkirat Singh Behl
Vibhav Vineet
OODVLM
155
3
0
14 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and
  Ignorance
Flexible Visual Recognition by Evidential Modeling of Confusion and IgnoranceIEEE International Conference on Computer Vision (ICCV), 2023
Lei Fan
Bo Liu
Haoxiang Li
Ying Wu
Gang Hua
227
7
0
14 Sep 2023
Introspective Deep Metric Learning
Introspective Deep Metric LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Cheng-Hao Wang
Wenzhao Zheng
Zheng Hua Zhu
Jie Zhou
Jiwen Lu
UQCV
261
19
0
11 Sep 2023
Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction
Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth PredictionIEEE Transactions on Medical Imaging (TMI), 2023
Qinghui Liu
E. Fuster-García
I. T. Hovden
Donatas Sederevičius
Karoline Skogen
...
Till Schellhorn
P. Brandal
A. Bjørnerud
K. Emblem
Kyrre Eeg Emblem
376
17
0
11 Sep 2023
Have We Ever Encountered This Before? Retrieving Out-of-Distribution
  Road Obstacles from Driving Scenes
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving ScenesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Youssef Shoeb
Robin Shing Moon Chan
Gesina Schwalbe
Azarm Nowzard
Fatma Guney
Hanno Gottschalk
222
9
0
08 Sep 2023
Deep Learning Safety Concerns in Automated Driving Perception
Deep Learning Safety Concerns in Automated Driving PerceptionIEEE Transactions on Intelligent Vehicles (TIV), 2023
Stephanie Abrecht
Alexander Hirsch
Shervin Raafatnia
Matthias Woehrle
314
20
0
07 Sep 2023
ClusterFusion: Leveraging Radar Spatial Features for Radar-Camera 3D
  Object Detection in Autonomous Vehicles
ClusterFusion: Leveraging Radar Spatial Features for Radar-Camera 3D Object Detection in Autonomous VehiclesIEEE Access (IEEE Access), 2023
Irfan Tito Kurniawan
B. Trilaksono
276
11
0
07 Sep 2023
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
Bayes' Rays: Uncertainty Quantification for Neural Radiance FieldsComputer Vision and Pattern Recognition (CVPR), 2023
Lily Goli
Cody Reading
Silvia Sellán
Alec Jacobson
Andrea Tagliasacchi
BDLUQCV
288
89
0
06 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection
Continual Evidential Deep Learning for Out-of-Distribution Detection
Eduardo Aguilar
Bogdan Raducanu
Petia Radeva
Joost van de Weijer
OODDEDL
211
12
0
06 Sep 2023
Rail Crack Propagation Forecasting Using Multi-horizons RNNs
Rail Crack Propagation Forecasting Using Multi-horizons RNNs
Sara Yasmine Ouerk
Olivier Vo Van
Mouadh Yagoubi
133
2
0
04 Sep 2023
Group-Conditional Conformal Prediction via Quantile Regression
  Calibration for Crop and Weed Classification
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification
P. Melki
Lionel Bombrun
Boubacar Diallo
Jérôme Dias
Jean-Pierre da Costa
302
8
0
29 Aug 2023
Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified
  Removal of Raindrops and Rain Streaks
Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain StreaksIEEE International Conference on Computer Vision (ICCV), 2023
Sixiang Chen
Tian-Chun Ye
Jinbin Bai
Erkang Chen
Jun Shi
Lei Zhu
216
59
0
27 Aug 2023
Deep Learning for Visual Localization and Mapping: A Survey
Deep Learning for Visual Localization and Mapping: A SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Changhao Chen
Bing Wang
Chris Xiaoxuan Lu
Niki Trigoni
Andrew Markham
HAI
247
53
0
27 Aug 2023
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators
Lucas Berry
David Meger
UD
499
3
0
25 Aug 2023
POCO: 3D Pose and Shape Estimation with Confidence
POCO: 3D Pose and Shape Estimation with ConfidenceInternational Conference on 3D Vision (3DV), 2023
Sai Kumar Dwivedi
Cordelia Schmid
Hongwei Yi
Michael J. Black
Dimitrios Tzionas
3DH
209
20
0
24 Aug 2023
Single-shot Bayesian approximation for neural networks
Single-shot Bayesian approximation for neural networks
K. Brach
Beate Sick
Oliver Durr
BDLUQCV
156
0
0
24 Aug 2023
Cross-Video Contextual Knowledge Exploration and Exploitation for
  Ambiguity Reduction in Weakly Supervised Temporal Action Localization
Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization
Songchun Zhang
Chunhui Zhao
230
7
0
24 Aug 2023
Uncertainty Estimation of Transformers' Predictions via Topological
  Analysis of the Attention Matrices
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices
Elizaveta Kostenok
D. Cherniavskii
Alexey Zaytsev
262
9
0
22 Aug 2023
CAME: Contrastive Automated Model Evaluation
CAME: Contrastive Automated Model EvaluationIEEE International Conference on Computer Vision (ICCV), 2023
Ru Peng
Qiuyang Duan
Haobo Wang
Jiachen Ma
Yanbo Jiang
Yongjun Tu
Xiu Jiang
Jiaqi Zhao
ELM
248
8
0
22 Aug 2023
Long-Term Prediction of Natural Video Sequences with Robust Video
  Predictors
Long-Term Prediction of Natural Video Sequences with Robust Video Predictors
Luke Ditria
Tom Drummond
306
1
0
21 Aug 2023
Deep Evidential Learning for Bayesian Quantile Regression
Deep Evidential Learning for Bayesian Quantile Regression
F. B. Hüttel
Filipe Rodrigues
Francisco Câmara Pereira
UDEDLBDLUQCV
180
8
0
21 Aug 2023
False Negative/Positive Control for SAM on Noisy Medical Images
False Negative/Positive Control for SAM on Noisy Medical Images
Xing Yao
Han Liu
Dewei Hu
Daiwei Lu
Ange Lou
...
Gabriel Arenas
Baris U. Oguz
Nadav Schwartz
Brett Byram
I. Oguz
MedIm
104
16
0
20 Aug 2023
Calibrating Uncertainty for Semi-Supervised Crowd Counting
Calibrating Uncertainty for Semi-Supervised Crowd CountingIEEE International Conference on Computer Vision (ICCV), 2023
Chen Li
Xiaoling Hu
Shahira Abousamra
Chao Chen
223
30
0
19 Aug 2023
Uncertainty-based quality assurance of carotid artery wall segmentation
  in black-blood MRI
Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI
Elina Thibeau-Sutre
Dieuwertje Alblas
Sophie Buurman
Christoph Brune
J. Wolterink
119
3
0
18 Aug 2023
Machine-Learning Solutions for the Analysis of Single-Particle Diffusion
  Trajectories
Machine-Learning Solutions for the Analysis of Single-Particle Diffusion TrajectoriesJournal of Physical Chemistry Letters (JPCL), 2023
Henrik Seckler
J. Szwabiński
Ralf Metzler
196
37
0
18 Aug 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty
  Quantification on Regression
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionAAAI Conference on Artificial Intelligence (AAAI), 2023
Xuanlong Yu
Gianni Franchi
Jindong Gu
Emanuel Aldea
UQCV
277
8
0
17 Aug 2023
D-IF: Uncertainty-aware Human Digitization via Implicit Distribution
  Field
D-IF: Uncertainty-aware Human Digitization via Implicit Distribution FieldIEEE International Conference on Computer Vision (ICCV), 2023
X. Yang
Yihao Luo
Yuliang Xiu
Wen Wang
Hao-Xuan Xu
Zhaoxin Fan
3DH
240
35
0
17 Aug 2023
V-FUSE: Volumetric Depth Map Fusion with Long-Range Constraints
V-FUSE: Volumetric Depth Map Fusion with Long-Range ConstraintsIEEE International Conference on Computer Vision (ICCV), 2023
Nathaniel Burgdorfer
Philippos Mordohai
MDE
252
1
0
17 Aug 2023
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain
  Alignment
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain AlignmentACM Multimedia (ACM MM), 2023
Ji Zhang
Xiao-Jun Wu
Zhi-Qi Cheng
Qin He
Wei Li
317
9
0
16 Aug 2023
Ranking-aware Uncertainty for Text-guided Image Retrieval
Ranking-aware Uncertainty for Text-guided Image RetrievalInternational Conference on Intelligent Computing (ICIC), 2023
Junyang Chen
Hanjiang Lai
170
9
0
16 Aug 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ
  Segmentation
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Jadie Adams
Shireen Y. Elhabian
UQCV
232
6
0
15 Aug 2023
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation
  for Pixel-wise Regression
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression
Anton Baumann
Thomas Roßberg
Michael Schmitt
UQCV
141
4
0
14 Aug 2023
Distance Matters For Improving Performance Estimation Under Covariate
  Shift
Distance Matters For Improving Performance Estimation Under Covariate Shift
Mélanie Roschewitz
Ben Glocker
263
1
0
14 Aug 2023
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
Sk Aziz Ali
Djamila Aouada
Gerd Reis
D. Stricker
164
9
0
14 Aug 2023
How inter-rater variability relates to aleatoric and epistemic
  uncertainty: a case study with deep learning-based paraspinal muscle
  segmentation
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation
Parinaz Roshanzamir
H. Rivaz
Joshua Ahn
Hamza Mirza
Neda Naghdi
Meagan Anstruther
M. C. Battié
M. Fortin
Yiming Xiao
209
3
0
14 Aug 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Shrinking Class Space for Enhanced Certainty in Semi-Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2023
Lihe Yang
Zhen Zhao
Lei Qi
Yu Qiao
Yinghuan Shi
Hengshuang Zhao
165
26
0
13 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across
  Cities
Uncertainty Quantification for Image-based Traffic Prediction across Cities
Alexander Timans
Nina Wiedemann
Nishant Kumar
Ye Hong
Martin Raubal
215
1
0
11 Aug 2023
Out-of-Distribution Detection for Monocular Depth Estimation
Out-of-Distribution Detection for Monocular Depth EstimationIEEE International Conference on Computer Vision (ICCV), 2023
Julia Hornauer
Adrian Holzbock
Vasileios Belagiannis
UQCV
197
6
0
11 Aug 2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic
  Segmentation
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationInternational Conference on Machine Learning (ICML), 2023
Jianfeng Wang
Daniela Massiceti
Xiaolin Hu
Vladimir Pavlovic
Thomas Lukasiewicz
UQCV
188
9
0
05 Aug 2023
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