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  3. UQCV

Uncertainty Quantification for Computer Vision

UQCV
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Measures and manages uncertainties in model predictions. Enhances decision-making by providing confidence levels in computer vision tasks.

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Title
Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts
Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts
Xinlei Xiong
Wenbo Hu
Shuxun Zhou
Kaifeng Bi
Lingxi Xie
Ying Liu
Richang Hong
Qi Tian
BDLUQCVAI4CE
76
0
0
18 Nov 2025
Monocular 3D Lane Detection via Structure Uncertainty-Aware Network with Curve-Point Queries
Monocular 3D Lane Detection via Structure Uncertainty-Aware Network with Curve-Point Queries
Ruixin Liu
Zejian Yuan
UQCV
40
0
0
17 Nov 2025
Contrastive Entropy Bounds for Density and Conditional Density Decomposition
Contrastive Entropy Bounds for Density and Conditional Density Decomposition
Bo Hu
José C. Príncipe
UQCV
9
0
0
17 Nov 2025
Credal Ensemble Distillation for Uncertainty Quantification
Credal Ensemble Distillation for Uncertainty Quantification
Kaizheng Wang
Fabio Cuzzolin
David Moens
Hans Hallez
UQCVUD
101
0
0
14 Nov 2025
Multimodal Posterior Sampling-based Uncertainty in PD-L1 Segmentation from H&E Images
Multimodal Posterior Sampling-based Uncertainty in PD-L1 Segmentation from H&E Images
Roman Kinakh
Gonzalo R. Ríos-Muñoz
Arrate Muñoz-Barrutia
UQCV
172
0
0
14 Nov 2025
Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts
Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts
Sebastian Cajas Ordonez
Luis Fernando Torres Torres
Mackenzie J. Meni
Carlos Andrés Duran Paredes
Eric Arazo
Cristian Bosch
Ricardo Simón Carbajo
Yuan Lai
Leo Anthony Celi
MQUQCV
72
0
0
13 Nov 2025
Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification
Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification
Adrien Lafage
Olivier Laurent
Firas Gabetni
Gianni Franchi
UQCVAI4CE
189
0
0
13 Nov 2025
Bayesian Mixture of Experts For Large Language Models
Bayesian Mixture of Experts For Large Language Models
Maryam Dialameh
Hossein Rajabzadeh
Weiwei Zhang
Walid Ahmed
Hyock Ju Kwon
UQCVBDLMoE
159
0
0
12 Nov 2025
BayesQ: Uncertainty-Guided Bayesian Quantization
BayesQ: Uncertainty-Guided Bayesian Quantization
Ismail Lamaakal
Chaymae Yahyati
Yassine Maleh
Khalid El Makkaoui
Ibrahim Ouahbi
MQUQCVBDL
152
0
0
11 Nov 2025
DL101 Neural Network Outputs and Loss Functions
DL101 Neural Network Outputs and Loss Functions
Fernando Berzal
UQCV
108
0
0
07 Nov 2025
On Joint Regularization and Calibration in Deep Ensembles
On Joint Regularization and Calibration in Deep Ensembles
Laurits Fredsgaard
Mikkel N. Schmidt
UQCV
175
0
0
06 Nov 2025
Partial Trace-Class Bayesian Neural Networks
Partial Trace-Class Bayesian Neural Networks
Arran Carter
Torben Sell
UQCVBDL
202
0
0
03 Nov 2025
MARIA: A Framework for Marginal Risk Assessment without Ground Truth in AI Systems
MARIA: A Framework for Marginal Risk Assessment without Ground Truth in AI Systems
Jieshan Chen
Suyu Ma
Qinghua Lu
Sung Une Lee
Liming Zhu
UQCV
256
0
0
31 Oct 2025
Calibration Across Layers: Understanding Calibration Evolution in LLMs
Calibration Across Layers: Understanding Calibration Evolution in LLMs
Abhinav Joshi
A. Ahmad
Ashutosh Modi
UQCV
152
0
0
31 Oct 2025
Multiclass Local Calibration With the Jensen-Shannon Distance
Multiclass Local Calibration With the Jensen-Shannon Distance
Cesare Barbera
Lorenzo Perini
Giovanni De Toni
Andrea Passerini
Andrea Pugnana
UQCV
174
0
0
30 Oct 2025
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores
Christopher Bülte
Yusuf Sale
Gitta Kutyniok
Eyke Hüllermeier
UQCV
145
0
0
29 Oct 2025
Selective Diabetic Retinopathy Screening with Accuracy-Weighted Deep Ensembles and Entropy-Guided Abstention
Selective Diabetic Retinopathy Screening with Accuracy-Weighted Deep Ensembles and Entropy-Guided Abstention
Jophy Lin
UQCV
164
0
0
29 Oct 2025
Bayesian neural networks with interpretable priors from Mercer kernels
Bayesian neural networks with interpretable priors from Mercer kernels
A. Alberts
Ilias Bilionis
UQCVBDL
188
0
0
27 Oct 2025
Schrodinger Neural Network and Uncertainty Quantification: Quantum Machine
Schrodinger Neural Network and Uncertainty Quantification: Quantum Machine
M. M. Hammad
UQCV
94
0
0
27 Oct 2025
Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead
Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead
Shireen Kudukkil Manchingal
Armand Amaritei
Mihir Gohad
Maryam Sultana
Julian F. P. Kooij
Fabio Cuzzolin
Andrew Bradley
UQCVEDL
172
0
0
26 Oct 2025
Frequentist Validity of Epistemic Uncertainty Estimators
Frequentist Validity of Epistemic Uncertainty Estimators
Anchit Jain
Stephen Bates
UDUQCVPER
149
0
0
24 Oct 2025
Multi-Task Deep Learning for Surface Metrology
Multi-Task Deep Learning for Surface Metrology
D. Kucharski
A. Gaska
T. Kowaluk
K. Stepien
M. Repalska
...
M. Nawotka
P. Sobecki
P. Sosinowski
J. Tomasik
A. Wojtowicz
UQCV
114
0
0
23 Oct 2025
Knowledge Distillation of Uncertainty using Deep Latent Factor Model
Knowledge Distillation of Uncertainty using Deep Latent Factor Model
Sehyun Park
Jongjin Lee
Yunseop Shin
Ilsang Ohn
Yongdai Kim
UQCVBDL
259
0
0
22 Oct 2025
Neural Variational Dropout Processes
Neural Variational Dropout ProcessesInternational Conference on Learning Representations (ICLR), 2025
Insu Jeon
Youngjin Park
Gunhee Kim
BDLUQCV
182
3
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
88
0
0
22 Oct 2025
Functional Distribution Networks (FDN)
Functional Distribution Networks (FDN)
Omer Haq
UQCV
102
0
0
20 Oct 2025
An Empirical Study on MC Dropout--Based Uncertainty--Error Correlation in 2D Brain Tumor Segmentation
An Empirical Study on MC Dropout--Based Uncertainty--Error Correlation in 2D Brain Tumor Segmentation
Saumya B
UQCV
64
0
0
17 Oct 2025
BoardVision: Deployment-ready and Robust Motherboard Defect Detection with YOLO+Faster-RCNN Ensemble
BoardVision: Deployment-ready and Robust Motherboard Defect Detection with YOLO+Faster-RCNN Ensemble
Brandon Hill
Kma Solaiman
UQCV
70
0
0
16 Oct 2025
Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors
Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors
Namhoon Kim
Sara Fridovich-Keil
OODUQCV
89
0
0
13 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
117
0
0
13 Oct 2025
In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning
In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning
Tomoya Wakayama
Taiji Suzuki
UQCVBDL
123
2
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
91
0
0
11 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
147
0
0
09 Oct 2025
Value Flows
Value Flows
Perry Dong
Chongyi Zheng
Chelsea Finn
Dorsa Sadigh
Benjamin Eysenbach
OODOffRLUQCV
120
0
0
09 Oct 2025
Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs
Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs
Hanieh Shojaei Miandashti
C. Brenner
UQCV
104
0
0
08 Oct 2025
Revisiting Mixout: An Overlooked Path to Robust Finetuning
Revisiting Mixout: An Overlooked Path to Robust Finetuning
Masih Aminbeidokhti
H. R. Medeiros
Eric Granger
M. Pedersoli
UQCV
132
0
0
08 Oct 2025
Can Linear Probes Measure LLM Uncertainty?
Can Linear Probes Measure LLM Uncertainty?
Ramzi Dakhmouche
Adrien Letellier
Hossein Gorji
UQCV
109
1
0
05 Oct 2025
Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes
Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes
Xiangjun Mi
Frank Mueller
UQCV
120
1
0
05 Oct 2025
Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization
Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization
Haozhe Lei
Hao Guo
Tommy Svensson
S. Rangan
UQCV
97
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
125
1
1
30 Sep 2025
Evaluating Temperature Scaling Calibration Effectiveness for CNNs under Varying Noise Levels in Brain Tumour Detection
Evaluating Temperature Scaling Calibration Effectiveness for CNNs under Varying Noise Levels in Brain Tumour Detection
Ankur Chanda
Kushan Choudhury
Shubhrodeep Roy
Shubhajit Biswas
Somenath Kuiry
UQCV
76
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
99
0
0
29 Sep 2025
Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification
Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification
Yinghao Jin
Xi Yang
UQCV
120
0
0
29 Sep 2025
Statistical Inference for Gradient Boosting Regression
Statistical Inference for Gradient Boosting Regression
Haimo Fang
Kevin Tan
Giles Hooker
FedMLUQCV
56
0
0
27 Sep 2025
Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
Nassim Walha
Sebastian G. Gruber
Thomas Decker
Yinchong Yang
Alireza Javanmardi
Eyke Hüllermeier
Florian Buettner
UQCVUDPER
258
0
0
26 Sep 2025
Localized Uncertainty Quantification in Random Forests via Proximities
Localized Uncertainty Quantification in Random Forests via Proximities
Jake S. Rhodes
Scott D. Brown
J. Riley Wilkinson
UQCV
60
0
0
26 Sep 2025
Can Less Precise Be More Reliable? A Systematic Evaluation of Quantization's Impact on CLIP Beyond Accuracy
Can Less Precise Be More Reliable? A Systematic Evaluation of Quantization's Impact on CLIP Beyond Accuracy
Aymen Bouguerra
Daniel Montoya
Alexandra Gomez-Villa
Fabio Arnez
Chokri Mraidha
UQCV
170
0
0
25 Sep 2025
Response to Promises and Pitfalls of Deep Kernel Learning
Response to Promises and Pitfalls of Deep Kernel Learning
A. Wilson
Zhiting Hu
Ruslan Salakhutdinov
Eric P. Xing
UQCV
101
0
0
25 Sep 2025
A Single Image Is All You Need: Zero-Shot Anomaly Localization Without Training Data
A Single Image Is All You Need: Zero-Shot Anomaly Localization Without Training Data
Mehrdad Moradi
Shengzhe Chen
Hao Yan
Kamran Paynabar
UQCV
156
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
241
0
0
21 Sep 2025
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