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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
AHA - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
AHA - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
Aiden Chang
Celso De Melo
Stephanie M. Lukin
172
0
0
19 Sep 2025
Towards Sharper Object Boundaries in Self-Supervised Depth Estimation
Towards Sharper Object Boundaries in Self-Supervised Depth Estimation
Aurélien Cecille
Stefan Duffner
Franck Davoine
Rémi Agier
Thibault Neveu
MDE3DPC
304
1
0
19 Sep 2025
Camera Splatting for Continuous View Optimization
Camera Splatting for Continuous View Optimization
Gahye Lee
Hyomin Kim
Gwangjin Ju
Jooeun Son
Hyejeong Yoon
Seungyong Lee
3DGS
98
0
0
19 Sep 2025
Prostate Capsule Segmentation from Micro-Ultrasound Images using Adaptive Focal Loss
Prostate Capsule Segmentation from Micro-Ultrasound Images using Adaptive Focal Loss
Kaniz Fatema
Vaibhav Thakur
Emad A. Mohammed
74
0
0
19 Sep 2025
Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics
Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics
Ibai Ramirez
Jokin Alcibar
Joel Pino
Mikel Sanz
David Pardo
J. Aizpurua
AI4CE
107
1
0
19 Sep 2025
GP3: A 3D Geometry-Aware Policy with Multi-View Images for Robotic Manipulation
GP3: A 3D Geometry-Aware Policy with Multi-View Images for Robotic Manipulation
Quanhao Qian
Guoyang Zhao
Gongjie Zhang
Jiuniu Wang
Ran Xu
Junlong Gao
Deli Zhao
132
3
0
19 Sep 2025
Stabilizing Information Flow Entropy: Regularization for Safe and Interpretable Autonomous Driving Perception
Stabilizing Information Flow Entropy: Regularization for Safe and Interpretable Autonomous Driving Perception
Haobo Yang
Shiyan Zhang
Zhuoyi Yang
Jilong Guo
Jun Yang
Xinyu Zhang
57
0
0
18 Sep 2025
UM-Depth : Uncertainty Masked Self-Supervised Monocular Depth Estimation with Visual Odometry
UM-Depth : Uncertainty Masked Self-Supervised Monocular Depth Estimation with Visual Odometry
Tae-Wook Um
Ki-Hyeon Kim
Hyun-Duck Choi
Hyo-Sung Ahn
MDE
165
0
0
17 Sep 2025
BEVUDA++: Geometric-aware Unsupervised Domain Adaptation for Multi-View 3D Object Detection
BEVUDA++: Geometric-aware Unsupervised Domain Adaptation for Multi-View 3D Object Detection
Rongyu Zhang
Jiaming Liu
Xiaoqi Li
Xiaowei Chi
Dan Wang
Li Du
Yuan Du
Shanghang Zhang
119
1
0
17 Sep 2025
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning
Zhizhong Zhao
Ke Chen
UQCV
288
0
0
16 Sep 2025
Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment
Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment
Avinaash Manoharan
Xiangyu Yin
Domenik Helm
Chih-Hong Cheng
140
0
0
16 Sep 2025
Uncertainty-Aware Retinal Vessel Segmentation via Ensemble Distillation
Uncertainty-Aware Retinal Vessel Segmentation via Ensemble Distillation
Jeremiah Fadugba
P. Manescu
Bolanle Oladejo
D. Fernández-Reyes
Philipp Berens
UQCVOODFedML
197
0
0
15 Sep 2025
Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment
Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment
Rini Smita Thakur
Rajeev Ranjan Dwivedi
Vinod K. Kurmi
146
0
0
12 Sep 2025
Kalman Bayesian Transformer
Kalman Bayesian Transformer
Haoming Jing
Oren Wright
J. M. F. Moura
Yorie Nakahira
BDL
134
0
0
12 Sep 2025
Improving Greenland Bed Topography Mapping with Uncertainty-Aware Graph Learning on Sparse Radar Data
Improving Greenland Bed Topography Mapping with Uncertainty-Aware Graph Learning on Sparse Radar Data
Bayu Adhi Tama
Homayra Alam
Mostafa Cham
Omar Faruque
Jianwu Wang
V. P Janeja
108
1
0
10 Sep 2025
Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation
Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation
Zahra Atf
Peter Lewis
148
1
0
08 Sep 2025
Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
Misgina Tsighe Hagos
Claes Lundström
161
0
0
06 Sep 2025
Multi-modal Uncertainty Robust Tree Cover Segmentation For High-Resolution Remote Sensing Images
Multi-modal Uncertainty Robust Tree Cover Segmentation For High-Resolution Remote Sensing Images
Yuanyuan Gui
Wei Li
Y Samuel Wang
X. Xia
M. Marty
C. Ginzler
Z. Wang
133
0
0
05 Sep 2025
Enhancing Self-Driving Segmentation in Adverse Weather Conditions: A Dual Uncertainty-Aware Training Approach to SAM Optimization
Enhancing Self-Driving Segmentation in Adverse Weather Conditions: A Dual Uncertainty-Aware Training Approach to SAM Optimization
Dharsan Ravindran
Kevin Wang
Zhuoyuan Cao
Saleh Abdelrahman
Jeffery Wu
104
0
0
05 Sep 2025
Systematic Review and Meta-analysis of AI-driven MRI Motion Artifact Detection and Correction
Systematic Review and Meta-analysis of AI-driven MRI Motion Artifact Detection and Correction
Mojtaba Safari
Zach Eidex
Richard L. J. Qiu
Matthew Goette
Tonghe Wang
Xiaofeng Yang
MedIm
80
0
0
05 Sep 2025
Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation
Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation
Svetlana Pavlitska
Beyza Keskin
Alwin Faßbender
Christian Hubschneider
Johann Marius Zöllner
UQCVMoE
223
2
0
05 Sep 2025
When three experiments are better than two: Avoiding intractable correlated aleatoric uncertainty by leveraging a novel bias--variance tradeoff
When three experiments are better than two: Avoiding intractable correlated aleatoric uncertainty by leveraging a novel bias--variance tradeoff
P. Scherer
Andreas Kirsch
J. Taylor-King
UD
198
0
0
04 Sep 2025
Uncertainty-aware Test-Time Training (UT$^3$) for Efficient On-the-fly Domain Adaptive Dense Regression
Uncertainty-aware Test-Time Training (UT3^33) for Efficient On-the-fly Domain Adaptive Dense Regression
Uddeshya Upadhyay
OOD
172
0
0
03 Sep 2025
Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation
Learning Correlation-aware Aleatoric Uncertainty for 3D Hand Pose Estimation
Lee Chae-Yeon
Nam Hyeon-Woo
Tae-Hyun Oh
3DHSLR
208
0
0
01 Sep 2025
Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference
Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference
Yixuan Huang
Novella Alvina
M. Shanthi
Tucker Hermans
213
2
0
01 Sep 2025
Aleatoric Uncertainty from AI-based 6D Object Pose Predictors for Object-relative State Estimation
Aleatoric Uncertainty from AI-based 6D Object Pose Predictors for Object-relative State EstimationIEEE Robotics and Automation Letters (IEEE RA-L), 2025
Thomas Jantos
Stephan Weiss
J. Steinbrener
88
0
0
01 Sep 2025
Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty?
Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty?
Yang Nan
Pengfei He
Ravi Tandon
Han Xu
97
1
0
28 Aug 2025
Streamlining the Development of Active Learning Methods in Real-World Object Detection
Streamlining the Development of Active Learning Methods in Real-World Object Detection
Moussa Kassem Sbeyti
Nadja Klein
Michelle Karg
Christian Wirth
S. Albayrak
123
0
0
27 Aug 2025
Can we make NeRF-based visual localization privacy-preserving?
Can we make NeRF-based visual localization privacy-preserving?
Maxime Pietrantoni
Martin Humenberger
Torsten Sattler
G. Csurka
103
0
0
26 Aug 2025
Distance-informed Neural Processes
Distance-informed Neural Processes
Aishwarya Venkataramanan
Joachim Denzler
UQCVBDL
160
1
0
26 Aug 2025
Robust Anomaly Detection in Industrial Environments via Meta-Learning
Robust Anomaly Detection in Industrial Environments via Meta-Learning
Muhammad Aqeel
Shakiba Sharifi
Marco Cristani
Francesco Setti
75
0
0
25 Aug 2025
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
Pinhuan Wang
Zhiqiu Xia
Chunhua Liao
Feiyi Wang
Hang Liu
176
3
0
25 Aug 2025
A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
Muhammad Aqeel
Danijel Skocaj
Marco Cristani
Francesco Setti
124
0
0
25 Aug 2025
E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation
E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Bin Huang
Zhong Liu
Huiying Wen
Bingsheng Huang
Xin Chen
Shuo Li
144
1
0
24 Aug 2025
Anchor-MoE: A Mean-Anchored Mixture of Experts For Probabilistic Regression
Anchor-MoE: A Mean-Anchored Mixture of Experts For Probabilistic Regression
Baozhuo Su
Zhengxian Qu
MoE
81
0
0
22 Aug 2025
UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation
UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation
Zhaodong Jiang
Ashish Sinha
Tongtong Cao
Y. Ren
Bingbing Liu
Binbin Xu
150
0
0
21 Aug 2025
AI-Powered Machine Learning Approaches for Fault Diagnosis in Industrial Pumps
AI-Powered Machine Learning Approaches for Fault Diagnosis in Industrial Pumps
Khaled M. A. Alghtus
Ayad Gannan
Khalid M. Alhajri
Ali L. A. Al Jubouri
Hassan A. I. Al-Janahi
AI4CE
67
1
0
21 Aug 2025
Twin-Boot: Uncertainty-Aware Optimization via Online Two-Sample Bootstrapping
Twin-Boot: Uncertainty-Aware Optimization via Online Two-Sample Bootstrapping
Carlos Stein Brito
UQCV
113
0
0
20 Aug 2025
TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML
TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML
Ismail Lamaakal
Chaymae Yahyati
Khalid El Makkaoui
Ibrahim Ouahbi
Yassine Maleh
96
2
0
18 Aug 2025
PEdger++: Practical Edge Detection via Assembling Cross Information
PEdger++: Practical Edge Detection via Assembling Cross Information
Yuanbin Fu
Liang Li
Xiaojie Guo
147
0
0
16 Aug 2025
RegimeNAS: Regime-Aware Differentiable Architecture Search With Theoretical Guarantees for Financial Trading
RegimeNAS: Regime-Aware Differentiable Architecture Search With Theoretical Guarantees for Financial Trading
Prathamesh Devadiga
Yashmitha Shailesh
AI4TS
72
0
0
15 Aug 2025
Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation
Uncertainty-aware Cross-training for Semi-supervised Medical Image SegmentationIEEE Transactions on Image Processing (IEEE TIP), 2025
Kaiwen Huang
Tao Zhou
Huazhu Fu
Yizhe Zhang
Yi Zhou
Xiao-Jun Wu
OODUQCV
142
1
0
12 Aug 2025
Deep Learning-Based Analysis of Power Consumption in Gasoline, Electric, and Hybrid Vehicles
Deep Learning-Based Analysis of Power Consumption in Gasoline, Electric, and Hybrid Vehicles
Roksana Yahyaabadi
Ghazal Farhani
Taufiq Rahman
Soodeh Nikan
Abdullah Jirjees
Fadi Araji
96
1
0
11 Aug 2025
OFAL: An Oracle-Free Active Learning Framework
OFAL: An Oracle-Free Active Learning Framework
Hadi Khorsand
Vahid Pourahmadi
UQCVFedMLBDL
108
1
0
11 Aug 2025
ProteoKnight: Convolution-based phage virion protein classification and uncertainty analysis
ProteoKnight: Convolution-based phage virion protein classification and uncertainty analysis
Samiha Afaf Neha
Abir Ahammed Bhuiyan
Md. Ishrak Khan
93
0
0
10 Aug 2025
Communication-Efficient Multi-Agent 3D Detection via Hybrid Collaboration
Communication-Efficient Multi-Agent 3D Detection via Hybrid Collaboration
Yue Hu
Juntong Peng
Yunqiao Yang
Siheng Chen
132
0
0
09 Aug 2025
Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution
Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution
Falaah Arif Khan
N. Sivakumar
Yinong Oliver Wang
Katherine Metcalf
Cezanne Camacho
B. Theobald
Luca Zappella
N. Apostoloff
136
0
0
09 Aug 2025
ReNiL: Event-Driven Pedestrian Bayesian Localization Using IMU for Real-World Applications
ReNiL: Event-Driven Pedestrian Bayesian Localization Using IMU for Real-World Applications
Kaixuan Wu
Yuanzhuo Xu
Zejun Zhang
Weiping Zhu
Jian Zhang
Steve Drew
Xiaoguang Niu
BDL
88
0
0
08 Aug 2025
FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation
FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation
Asim Ukaye
Numan Saeed
Karthik Nandakumar
FedML
100
0
0
08 Aug 2025
EnergyPatchTST: Multi-scale Time Series Transformers with Uncertainty Estimation for Energy Forecasting
EnergyPatchTST: Multi-scale Time Series Transformers with Uncertainty Estimation for Energy ForecastingInternational Conference on Intelligent Computing (ICIC), 2025
Wei Li
Zixin Wang
Qizheng Sun
Qixiang Gao
Fenglei Yang
AI4TS
118
0
0
07 Aug 2025
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