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1703.04977
Cited By

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

ArXiv (abs)PDF HTML

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

50 / 2,437 papers shown

Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation

Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation

Parisa Hassanzadeh

...

488

3

0

10 May 2024

Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp
Segmentation

Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp SegmentationInternational Conference on Pattern Recognition (ICPR), 2024

156

0

0

09 May 2024

Enhancing Suicide Risk Detection on Social Media through Semi-Supervised
Deep Label Smoothing

Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing

Matthew Squires

Soman Elangovan

Rajendra Acharya

Haoran Xie

161

2

0

09 May 2024

General Place Recognition Survey: Towards Real-World Autonomy

General Place Recognition Survey: Towards Real-World Autonomy

Sebastian A. Scherer

524

26

0

08 May 2024

Weakly-Supervised Residual Evidential Learning for Multi-Instance
Uncertainty Estimation

Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation

Pei Liu

Luping Ji

393

8

0

07 May 2024

Uncertainty Quantification Metrics for Deep Regression

Uncertainty Quantification Metrics for Deep Regression

Simon Kristoffersson Lind

Per-Erik Forssén

329

20

0

07 May 2024

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging

381

0

0

05 May 2024

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from
a Smartwatch

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a SmartwatchIEEE Transactions on Biomedical Engineering (IEEE TBME), 2024

Christodoulos Kechris

221

13

0

02 May 2024

CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot
Applications

CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications

Steven D. Morad

Jennifer Gielis

Amanda Prorok

329

7

0

02 May 2024

Uncertainty for Active Learning on Graphs

Uncertainty for Active Learning on Graphs

Dominik Fuchsgruber

Tom Wollschlager

Bertrand Charpentier

Stephan Günnemann

756

17

0

02 May 2024

Predictive Accuracy-Based Active Learning for Medical Image Segmentation

Predictive Accuracy-Based Active Learning for Medical Image Segmentation

358

11

0

01 May 2024

Large Language Model Informed Patent Image Retrieval

Large Language Model Informed Patent Image Retrieval

258

9

0

30 Apr 2024

The Landscape of Unfolding with Machine Learning

The Landscape of Unfolding with Machine Learning

Javier Marino Villadamigo

Alexander Shmakov

Vinicius Mikuni

...

Benjamin Nachman

430

27

0

29 Apr 2024

Uncertainty-boosted Robust Video Activity Anticipation

Uncertainty-boosted Robust Video Activity Anticipation

310

10

0

29 Apr 2024

Cost-Sensitive Uncertainty-Based Failure Recognition for Object
Detection

Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection

Moussa Kassem Sbeyti

275

2

0

26 Apr 2024

Part-Guided 3D RL for Sim2Real Articulated Object Manipulation

Part-Guided 3D RL for Sim2Real Articulated Object Manipulation

Rui Chen

271

15

0

26 Apr 2024

DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion
Difference

DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference

190

6

0

25 Apr 2024

A Hybrid Probabilistic Battery Health Management Approach for Robust
Inspection Drone Operations

A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations

Oier Penagarikano

219

4

0

24 Apr 2024

Uncertainty Quantification on Graph Learning: A Survey

Uncertainty Quantification on Graph Learning: A Survey

437

3

0

23 Apr 2024

Machine Learning Techniques for MRI Data Processing at Expanding Scale

Machine Learning Techniques for MRI Data Processing at Expanding Scale

191

0

0

22 Apr 2024

Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring
Rules

Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules

Eyke Hüllermeier

389

17

0

18 Apr 2024

Conformal Semantic Image Segmentation: Post-hoc Quantification of
Predictive Uncertainty

Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty

392

28

0

16 Apr 2024

Awareness of uncertainty in classification using a multivariate model
and multi-views

Awareness of uncertainty in classification using a multivariate model and multi-views

266

1

0

16 Apr 2024

Language Model Cascades: Token-level uncertainty and beyond

Language Model Cascades: Token-level uncertainty and beyond

Harikrishna Narasimhan

Wittawat Jitkrittum

Sanjiv Kumar

509

102

0

15 Apr 2024

Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint
Moment Retrieval and Highlight Detection

Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection

271

30

0

14 Apr 2024

Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal
Sentiment Space

Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space

259

33

0

13 Apr 2024

Enhancing Fairness and Performance in Machine Learning Models: A
Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality

Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality

214

4

0

12 Apr 2024

Tackling Ambiguity from Perspective of Uncertainty Inference and
Affinity Diversification for Weakly Supervised Semantic Segmentation

Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation

Shuo Wang

386

4

0

12 Apr 2024

Joint Conditional Diffusion Model for Image Restoration with Mixed
Degradations

Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations

184

5

0

11 Apr 2024

Fast Encoder-Based 3D from Casual Videos via Point Track Processing

Fast Encoder-Based 3D from Casual Videos via Point Track ProcessingNeural Information Processing Systems (NeurIPS), 2024

315

13

0

10 Apr 2024

An Evidential-enhanced Tri-Branch Consistency Learning Method for
Semi-supervised Medical Image Segmentation

An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image SegmentationIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2024

240

19

0

10 Apr 2024

Monocular 3D lane detection for Autonomous Driving: Recent Achievements,
Challenges, and Outlooks

Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

Yuxuan Liu

309

16

0

10 Apr 2024

Hierarchical Insights: Exploiting Structural Similarities for Reliable
3D Semantic Segmentation

Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation

Joschka Boedecker

338

1

0

09 Apr 2024

Focused Active Learning for Histopathological Image Classification

Focused Active Learning for Histopathological Image Classification

Pablo Morales-Álvarez

Lee A.D. Cooper

Aggelos K. Katsaggelos

230

11

0

06 Apr 2024

A self-attention model for robust rigid slice-to-volume registration of
functional MRI

A self-attention model for robust rigid slice-to-volume registration of functional MRI

Simon K. Warfield

192

1

0

06 Apr 2024

Beyond the Known: Adversarial Autoencoders in Novelty Detection

Beyond the Known: Adversarial Autoencoders in Novelty Detection

Michael G. Madden

173

2

0

06 Apr 2024

MonoCD: Monocular 3D Object Detection with Complementary Depths

MonoCD: Monocular 3D Object Detection with Complementary DepthsComputer Vision and Pattern Recognition (CVPR), 2024

Shengzhou Xiong

217

66

0

04 Apr 2024

On the Importance of Uncertainty in Decision-Making with Large Language
Models

On the Importance of Uncertainty in Decision-Making with Large Language Models

Nicolò Felicioni

358

9

0

03 Apr 2024

NVINS: Robust Visual Inertial Navigation Fused with NeRF-augmented
Camera Pose Regressor and Uncertainty Quantification

NVINS: Robust Visual Inertial Navigation Fused with NeRF-augmented Camera Pose Regressor and Uncertainty Quantification

Lukas Lao Beyer

G. V. Cavalheiro

270

5

0

01 Apr 2024

On the Estimation of Image-matching Uncertainty in Visual Place
Recognition

On the Estimation of Image-matching Uncertainty in Visual Place Recognition

Julian F. P. Kooij

227

13

0

31 Mar 2024

DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans

DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans

Thiemo Alldieck

Nikos Kolotouros

C. Sminchisescu

330

15

0

30 Mar 2024

Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation

Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation

261

1

0

29 Mar 2024

On Uncertainty Quantification for Near-Bayes Optimal Algorithms

On Uncertainty Quantification for Near-Bayes Optimal Algorithms

Chris Holmes

318

3

0

28 Mar 2024

Uncertainty-Aware Deep Video Compression with Ensembles

Uncertainty-Aware Deep Video Compression with Ensembles

155

12

0

28 Mar 2024

Modeling uncertainty for Gaussian Splatting

Modeling uncertainty for Gaussian Splatting

234

14

0

27 Mar 2024

Road Obstacle Detection based on Unknown Objectness Scores

Road Obstacle Detection based on Unknown Objectness Scores

Chihiro Noguchi

212

3

0

27 Mar 2024

Image-based Novel Fault Detection with Deep Learning Classifiers using
Hierarchical Labels

Image-based Novel Fault Detection with Deep Learning Classifiers using Hierarchical Labels

Tzyy-Shuh Chang

219

3

0

26 Mar 2024

Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with
Relative Geometric Consistency

Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency

247

6

0

26 Mar 2024

Learning To Guide Human Decision Makers With Vision-Language Models

Learning To Guide Human Decision Makers With Vision-Language Models

Debodeep Banerjee

Baptiste Caramiaux

372

2

0

25 Mar 2024

Real-time Adaptation for Condition Monitoring Signal Prediction using
Label-aware Neural Processes

Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes

205

0

0

25 Mar 2024

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