Uncertainty Quantification for Computer Vision

UQCV

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

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Multiclass Local Calibration With the Jensen-Shannon Distance Cesare Barbera Lorenzo Perini Giovanni De Toni Andrea Passerini Andrea Pugnana UQCV 60 0 0 30 Oct 2025
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Christopher Bülte Yusuf Sale Gitta Kutyniok Eyke Hüllermeier UQCV 75 0 0 29 Oct 2025
Schrodinger Neural Network and Uncertainty Quantification: Quantum Machine M. M. Hammad UQCV 16 0 0 27 Oct 2025
Bayesian neural networks with interpretable priors from Mercer kernels A. Alberts Ilias Bilionis UQCV BDL 60 0 0 27 Oct 2025
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 UQCV EDL 64 0 0 26 Oct 2025
Frequentist Validity of Epistemic Uncertainty Estimators Anchit Jain Stephen Bates UD UQCV PER 70 0 0 24 Oct 2025
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 45 0 0 23 Oct 2025
Neural Variational Dropout ProcessesInternational Conference on Learning Representations (ICLR), 2025 Insu Jeon Youngjin Park Gunhee Kim BDL UQCV 66 3 0 22 Oct 2025
Uncertainty evaluation of segmentation models for Earth observation Melanie Rey Andriy Mnih Maxim Neumann Matt Overlan Drew Purves UQCV 16 0 0 22 Oct 2025
Knowledge Distillation of Uncertainty using Deep Latent Factor Model Sehyun Park Jongjin Lee Yunseop Shin Ilsang Ohn Yongdai Kim UQCV BDL 94 0 0 22 Oct 2025
Functional Distribution Networks (FDN) Omer Haq UQCV 53 0 0 20 Oct 2025
An Empirical Study on MC Dropout--Based Uncertainty--Error Correlation in 2D Brain Tumor Segmentation Saumya B UQCV 28 0 0 17 Oct 2025
BoardVision: Deployment-ready and Robust Motherboard Defect Detection with YOLO+Faster-RCNN Ensemble Brandon Hill Kma Solaiman UQCV 24 0 0 16 Oct 2025
Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors Namhoon Kim Sara Fridovich-Keil OOD UQCV 13 0 0 13 Oct 2025
Bayesian Topological Convolutional Neural Nets Sarah Harkins Dayton Hayden Everett Ioannis Schizas David L. Boothe Jr. Vasileios Maroulas BDL UQCV 17 0 0 13 Oct 2025
In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning Tomoya Wakayama Taiji Suzuki UQCV BDL 19 0 0 13 Oct 2025
Uncertainty-Aware Post-Detection Framework for Enhanced Fire and Smoke Detection in Compact Deep Learning Models A. Joshi Godwyn James William S. Joshi UQCV 29 0 0 11 Oct 2025
Revisiting Hallucination Detection with Effective Rank-based Uncertainty Rui Wang Zeming Wei Guanzhang Yue Meng Sun UQCV HILM 56 0 0 09 Oct 2025
Value Flows Perry Dong Chongyi Zheng Chelsea Finn Dorsa Sadigh Benjamin Eysenbach OOD OffRL UQCV 64 0 0 09 Oct 2025
Revisiting Mixout: An Overlooked Path to Robust Finetuning Masih Aminbeidokhti H. R. Medeiros Eric Granger M. Pedersoli UQCV 72 0 0 08 Oct 2025
Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs Hanieh Shojaei Miandashti C. Brenner UQCV 32 0 0 08 Oct 2025
Can Linear Probes Measure LLM Uncertainty? Ramzi Dakhmouche Adrien Letellier Hossein Gorji UQCV 57 1 0 05 Oct 2025
Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes Xiangjun Mi Frank Mueller UQCV 64 0 0 05 Oct 2025
Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization Haozhe Lei Hao Guo Tommy Svensson S. Rangan UQCV 44 0 0 30 Sep 2025
Uncertainty Quantification for Regression using Proper Scoring Rules Alexander Fishkov Kajetan Schweighofer Mykyta Ielanskyi Nikita Kotelevskii Mohsen Guizani Maxim Panov UQCV 41 0 1 30 Sep 2025
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 4 0 0 29 Sep 2025
Guided Uncertainty Learning Using a Post-Hoc Evidential Meta-Model Charmaine Barker Daniel Bethell Simos Gerasimou UQCV 27 0 0 29 Sep 2025
Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification Yinghao Jin Xi Yang UQCV 36 0 0 29 Sep 2025
Statistical Inference for Gradient Boosting Regression Haimo Fang Kevin Tan Giles Hooker FedML UQCV 4 0 0 27 Sep 2025
Localized Uncertainty Quantification in Random Forests via Proximities Jake S. Rhodes Scott D. Brown J. Riley Wilkinson UQCV 8 0 0 26 Sep 2025
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 UQCV UD PER 70 0 0 26 Sep 2025
Response to Promises and Pitfalls of Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric P. Xing UQCV 45 0 0 25 Sep 2025
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 48 0 0 25 Sep 2025
A Single Image Is All You Need: Zero-Shot Anomaly Localization Without Training Data Mehrdad Moradi Shengzhe Chen Hao Yan Kamran Paynabar UQCV 76 0 0 22 Sep 2025
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 UQCV EDL OOD 113 0 0 21 Sep 2025
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning Zhizhong Zhao Ke Chen UQCV 96 0 0 16 Sep 2025
Probabilistic Robustness Analysis in High Dimensional Space: Application to Semantic Segmentation Network Navid Hashemi Samuel Sasaki Diego Manzanas Lopez Ipek Oguz Meiyi Ma Taylor T. Johnson UQCV AAML 44 0 0 15 Sep 2025
Uncertainty-Aware Retinal Vessel Segmentation via Ensemble Distillation Jeremiah Fadugba P. Manescu Bolanle Oladejo D. Fernández-Reyes Philipp Berens UQCV OOD FedML 30 0 0 15 Sep 2025
Pseudo-D: Informing Multi-View Uncertainty Estimation with Calibrated Neural Training Dynamics A. Gu Michael Y. Tsang H. Vaseli Purang Abolmaesumi T. Tsang UQCV 4 0 0 15 Sep 2025
Parameter estimation with uncertainty quantification from continuous measurement data using neural network ensembles Amanuel Anteneh UQCV 35 0 0 12 Sep 2025
ORCA: Unveiling Obscure Containers In The Wild Jacopo Bufalino Agathe Blaise Stefano Secci UQCV 49 0 0 11 Sep 2025
Unsupervised Integrated-Circuit Defect Segmentation via Image-Intrinsic Normality Botong Zhao Qijun Shi Shujing Lyu Yue Lu UQCV 8 0 0 11 Sep 2025
Uncertainty Estimation using Variance-Gated Distributions H. Martin Gillis Isaac Xu Thomas Trappenberg UQCV PER UD 68 0 0 07 Sep 2025
Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation Svetlana Pavlitska Beyza Keskin Alwin Faßbender Christian Hubschneider Johann Marius Zöllner UQCV MoE 53 2 0 05 Sep 2025
Prior Distribution and Model Confidence Maksim Kazanskii Artem Kasianov UQCV 71 0 0 05 Sep 2025
Unveiling the Role of Data Uncertainty in Tabular Deep Learning Nikolay Kartashev Ivan Rubachev Artem Babenko LMTD UQCV 56 0 0 04 Sep 2025
Split Conformal Prediction in the Function Space with Neural Operators David Millard Lars Lindemann Ali Baheri UQCV 72 0 0 04 Sep 2025
PDRL: Post-hoc Descriptor-based Residual Learning for Uncertainty-Aware Machine Learning Potentials Shih-Peng Huang Nontawat Charoenphakdee Yuta Tsuboi Yong-Bin Zhuang Wenwen Li UQCV 12 0 0 03 Sep 2025
Variational Uncertainty Decomposition for In-Context Learning I. Shavindra Jayasekera Jacob Si Filippo Valdettaro Wenlong Chen Aldo A. Faisal Yingzhen Li BDL UQCV UD PER 116 0 0 02 Sep 2025
Structured Basis Function Networks: Loss-Centric Multi-Hypothesis Ensembles with Controllable Diversity Alejandro Rodriguez Dominguez Muhammad Shahzad Xia Hong UQCV 53 0 0 02 Sep 2025

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