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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
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Jeongin Kim
Wonho Bae
YouLee Han
Giyeong Oh
Youngjae Yu
Danica J. Sutherland
Junhyug Noh
DiffM
144
0
0
25 Oct 2025
Frequentist Validity of Epistemic Uncertainty Estimators
Frequentist Validity of Epistemic Uncertainty Estimators
Anchit Jain
Stephen Bates
UDUQCVPER
264
0
0
24 Oct 2025
On Uncertainty Calibration for Equivariant Functions
On Uncertainty Calibration for Equivariant Functions
Edward Berman
Jacob Ginesin
Marco Pacini
Robin Walters
266
0
0
24 Oct 2025
Federated Learning via Meta-Variational Dropout
Federated Learning via Meta-Variational DropoutNeural Information Processing Systems (NeurIPS), 2025
Insu Jeon
Minui Hong
Junhyeog Yun
Gunhee Kim
FedML
239
11
0
23 Oct 2025
ProTerrain: Probabilistic Physics-Informed Rough Terrain World Modeling
ProTerrain: Probabilistic Physics-Informed Rough Terrain World Modeling
Golnaz Raja
R. Agishev
Miloš Prágr
Joni Pajarinen
Karel Zimmermann
A. K. Singh
R. Ghabcheloo
92
0
0
22 Oct 2025
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
Catherine Villeneuve
Benjamin Akera
Mélisande Teng
David Rolnick
122
0
0
22 Oct 2025
Uncertainty evaluation of segmentation models for Earth observation
Uncertainty evaluation of segmentation models for Earth observation
Melanie Rey
Andriy Mnih
Maxim Neumann
Matt Overlan
Drew Purves
UQCV
193
0
0
22 Oct 2025
Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
Firas Gabetni
Giuseppe Curci
Andrea Pilzer
Subhankar Roy
Elisa Ricci
Gianni Franchi
140
1
0
21 Oct 2025
Functional Distribution Networks (FDN)
Functional Distribution Networks (FDN)
Omer Haq
UQCV
293
0
0
20 Oct 2025
One Dinomaly2 Detect Them All: A Unified Framework for Full-Spectrum Unsupervised Anomaly Detection
One Dinomaly2 Detect Them All: A Unified Framework for Full-Spectrum Unsupervised Anomaly Detection
Jia Guo
Shuai Lu
Lei Fan
Zelin Li
Donglin Di
...
Wenbing Zhu
Hong Yan
Fang Chen
Huiqi Li
H. Liao
240
2
0
20 Oct 2025
Adaptive Individual Uncertainty under Out-Of-Distribution Shift with Expert-Routed Conformal Prediction
Adaptive Individual Uncertainty under Out-Of-Distribution Shift with Expert-Routed Conformal Prediction
Amitesh Badkul
Lei Xie
87
1
0
17 Oct 2025
ObjectTransforms for Uncertainty Quantification and Reduction in Vision-Based Perception for Autonomous Vehicles
ObjectTransforms for Uncertainty Quantification and Reduction in Vision-Based Perception for Autonomous Vehicles
Nishad Sahu
Shounak Sural
Aditya Satish Patil
Ragunathan
R. Rajkumar
119
0
0
17 Oct 2025
Confidence-Weighted Semi-Supervised Learning for Skin Lesion Segmentation Using Hybrid CNN-Transformer Networks
Confidence-Weighted Semi-Supervised Learning for Skin Lesion Segmentation Using Hybrid CNN-Transformer Networks
Saqib Qamar
MedIm
71
0
0
17 Oct 2025
Through the Lens of Doubt: Robust and Efficient Uncertainty Estimation for Visual Place Recognition
Through the Lens of Doubt: Robust and Efficient Uncertainty Estimation for Visual Place Recognition
Emily Miller
Michael Milford
Muhammad Burhan Hafez
SD Ramchurn
Shoaib Ehsan
133
0
0
15 Oct 2025
Bayesian Topological Convolutional Neural Nets
Bayesian Topological Convolutional Neural Nets
Sarah Harkins Dayton
Hayden Everett
Ioannis Schizas
David L. Boothe Jr.
Vasileios Maroulas
BDLUQCV
182
0
0
13 Oct 2025
Uncertainty-Aware Post-Detection Framework for Enhanced Fire and Smoke Detection in Compact Deep Learning Models
Uncertainty-Aware Post-Detection Framework for Enhanced Fire and Smoke Detection in Compact Deep Learning Models
A. Joshi
Godwyn James William
S. Joshi
UQCV
177
0
0
11 Oct 2025
Progressive Uncertainty-Guided Evidential U-KAN for Trustworthy Medical Image Segmentation
Progressive Uncertainty-Guided Evidential U-KAN for Trustworthy Medical Image Segmentation
Zhen Yang
Yansong Ma
Lei Chen
EDL
197
0
0
10 Oct 2025
Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
Zhen Yang
Yansong Ma
Lei Chen
127
0
0
10 Oct 2025
Revisiting Hallucination Detection with Effective Rank-based Uncertainty
Revisiting Hallucination Detection with Effective Rank-based Uncertainty
Rui Wang
Zeming Wei
Guanzhang Yue
Meng Sun
UQCVHILM
224
0
0
09 Oct 2025
UniFField: A Generalizable Unified Neural Feature Field for Visual, Semantic, and Spatial Uncertainties in Any Scene
UniFField: A Generalizable Unified Neural Feature Field for Visual, Semantic, and Spatial Uncertainties in Any Scene
Christian Maurer
Snehal Jauhri
Sophie Lueth
Georgia Chalvatzaki
123
0
0
08 Oct 2025
Through the Perspective of LiDAR: A Feature-Enriched and Uncertainty-Aware Annotation Pipeline for Terrestrial Point Cloud Segmentation
Through the Perspective of LiDAR: A Feature-Enriched and Uncertainty-Aware Annotation Pipeline for Terrestrial Point Cloud Segmentation
Fei Zhang
Rob Chancia
Josie Clapp
Amirhossein Hassanzadeh
Dimah Dera
Richard MacKenzie
Jan van Aardt
3DPC
247
0
0
08 Oct 2025
Deterministic Legal Agents: A Canonical Primitive API for Auditable Reasoning over Temporal Knowledge Graphs
Deterministic Legal Agents: A Canonical Primitive API for Auditable Reasoning over Temporal Knowledge Graphs
Hudson de Martim
151
0
0
07 Oct 2025
Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers
Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers
Kevin Raina
T. Schmah
BDL
151
0
0
07 Oct 2025
OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS
OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSSIEEE Transactions on robotics (IEEE TRO), 2025
Simon Boche
Jaehyung Jung
Sebastián Barbas Laina
Stefan Leutenegger
200
3
0
06 Oct 2025
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
Peter Van Katwyk
Karianne J. Bergen
191
0
0
06 Oct 2025
On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs
On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs
Lucie Kunitomo-Jacquin
Edison Marrese-Taylor
Ken Fukuda
92
0
0
06 Oct 2025
Can Linear Probes Measure LLM Uncertainty?
Can Linear Probes Measure LLM Uncertainty?
Ramzi Dakhmouche
Adrien Letellier
Hossein Gorji
UQCV
238
1
0
05 Oct 2025
U-LAG: Uncertainty-Aware, Lag-Adaptive Goal Retargeting for Robotic Manipulation
U-LAG: Uncertainty-Aware, Lag-Adaptive Goal Retargeting for Robotic Manipulation
Anamika J H
Anujith Muraleedharan
80
0
0
02 Oct 2025
SoK: Measuring What Matters for Closed-Loop Security Agents
SoK: Measuring What Matters for Closed-Loop Security Agents
Mudita Khurana
Raunak Jain
ELM
87
0
0
02 Oct 2025
Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving
Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving
Cornelius Schröder
Marius-Raphael Schlüter
Markus Lienkamp
128
0
0
02 Oct 2025
Statistical Uncertainty Learning for Robust Visual-Inertial State Estimation
Statistical Uncertainty Learning for Robust Visual-Inertial State Estimation
Seungwon Choi
Donggyu Park
Seo-Yeon Hwang
Tae-wan Kim
100
1
0
02 Oct 2025
LieHMR: Autoregressive Human Mesh Recovery with $SO(3)$ Diffusion
LieHMR: Autoregressive Human Mesh Recovery with SO(3)SO(3)SO(3) Diffusion
Donghwan Kim
Tae-Kyun Kim
DiffM
211
0
0
30 Sep 2025
Dynamic Meta-Learning for Adaptive XGBoost-Neural Ensembles
Dynamic Meta-Learning for Adaptive XGBoost-Neural Ensembles
Arthur Sedek
AI4CE
93
0
0
30 Sep 2025
Uncertainty Quantification for Regression using Proper Scoring Rules
Uncertainty Quantification for Regression using Proper Scoring Rules
Alexander Fishkov
Kajetan Schweighofer
Mykyta Ielanskyi
Nikita Kotelevskii
Mohsen Guizani
Maxim Panov
UQCV
222
1
1
30 Sep 2025
Inferring Cosmological Parameters with Evidential Physics-Informed Neural Networks
Inferring Cosmological Parameters with Evidential Physics-Informed Neural Networks
Hai Siong Tan
BDL
140
1
0
29 Sep 2025
PAD3R: Pose-Aware Dynamic 3D Reconstruction from Casual Videos
PAD3R: Pose-Aware Dynamic 3D Reconstruction from Casual Videos
Ting-Hsuan Liao
Haowen Liu
Yiran Xu
Songwei Ge
Gengshan Yang
Jia-Bin Huang
91
0
0
29 Sep 2025
Guided Uncertainty Learning Using a Post-Hoc Evidential Meta-Model
Guided Uncertainty Learning Using a Post-Hoc Evidential Meta-Model
Charmaine Barker
Daniel Bethell
Simos Gerasimou
UQCV
187
0
0
29 Sep 2025
Test-time Uncertainty Estimation for Medical Image Registration via Transformation Equivariance
Test-time Uncertainty Estimation for Medical Image Registration via Transformation Equivariance
Lin Tian
Xiaoling Hu
J. Iglesias
OODMedIm
118
0
0
27 Sep 2025
Multidimensional Uncertainty Quantification via Optimal Transport
Multidimensional Uncertainty Quantification via Optimal Transport
Nikita Kotelevskii
Maiya Goloburda
Vladimir Kondratyev
Alexander Fishkov
Mohsen Guizani
Eric Moulines
Maxim Panov
179
1
0
26 Sep 2025
Learnable Conformal Prediction with Context-Aware Nonconformity Functions for Robotic Planning and Perception
Learnable Conformal Prediction with Context-Aware Nonconformity Functions for Robotic Planning and Perception
Divake Kumar
Sina Tayebati
Francesco Migliarba
Ranganath Krishnan
A. R. Trivedi
141
1
0
26 Sep 2025
Black-Box Hallucination Detection via Consistency Under the Uncertain Expression
Black-Box Hallucination Detection via Consistency Under the Uncertain Expression
Seongho Joo
Kyungmin Min
Jahyun Koo
Kyomin Jung
HILM
113
2
0
26 Sep 2025
GenUQ: Predictive Uncertainty Estimates via Generative Hyper-Networks
GenUQ: Predictive Uncertainty Estimates via Generative Hyper-Networks
Tian Yu Yen
Reese E. Jones
Ravi G. Patel
AI4CE
119
0
0
25 Sep 2025
MCGrad: Multicalibration at Web Scale
MCGrad: Multicalibration at Web Scale
Lorenzo Perini
Daniel Haimovich
Fridolin Linder
Niek Tax
Dima Karamshuk
Milan Vojnovic
Nastaran Okati
Pavlos Athanasios Apostolopoulos
152
0
0
24 Sep 2025
InconVAD: A Two-Stage Dual-Tower Framework for Multimodal Emotion Inconsistency Detection
InconVAD: A Two-Stage Dual-Tower Framework for Multimodal Emotion Inconsistency Detection
Zongyi Li
Junchuan Zhao
Francis Bu Sung Lee
Andrew Zi Han Yee
115
0
0
24 Sep 2025
Probabilistic Machine Learning for Uncertainty-Aware Diagnosis of Industrial Systems
Probabilistic Machine Learning for Uncertainty-Aware Diagnosis of Industrial Systems
Arman Mohammadi
Mattias Krysander
Daniel E. Jung
Erik Frisk
AI4CE
109
0
0
23 Sep 2025
Analyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting
Analyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting
Andreas Lebedev
Abhinav Das
Sven Pappert
Stephan Schlüter
212
0
0
23 Sep 2025
Towards Open-Ended Discovery for Low-Resource NLP
Towards Open-Ended Discovery for Low-Resource NLP
Bonaventure F. P. Dossou
Henri Aïdasso
120
0
0
22 Sep 2025
Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
Uncertainty-Supervised Interpretable and Robust Evidential SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Yuzhu Li
An Sui
Fuping Wu
Xiahai Zhuang
UQCVEDLOOD
435
0
0
21 Sep 2025
MO R-CNN: Multispectral Oriented R-CNN for Object Detection in Remote Sensing Image
MO R-CNN: Multispectral Oriented R-CNN for Object Detection in Remote Sensing Image
Leiyu Wang
Biao Jin
Feng Huang
Liqiong Chen
Zhengyong Wang
X. He
Honggang Chen
ObjD
161
0
0
21 Sep 2025
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Shuai Feng
Yuxin Ge
Yuntao Du
Mingcai Chen
Chongjun Wang
Lei Feng
OODD
443
0
0
21 Sep 2025
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