Saved in:
| Main Authors: | Wundram, Anna M., Baumgartner, Christian F. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.02319 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conformal Performance Range Prediction for Segmentation Output Quality Control
by: Wundram, Anna M., et al.
Published: (2024)
by: Wundram, Anna M., et al.
Published: (2024)
Rethinking Uncertainty Quantification and Entanglement in Image Segmentation
by: Christensen, Jakob Lønborg, et al.
Published: (2026)
by: Christensen, Jakob Lønborg, et al.
Published: (2026)
Melanoma Detection with Uncertainty Quantification
by: Kim, SangHyuk, et al.
Published: (2024)
by: Kim, SangHyuk, et al.
Published: (2024)
Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification
by: Sun, Susu, et al.
Published: (2025)
by: Sun, Susu, et al.
Published: (2025)
Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging
by: Woerner, Stefano, et al.
Published: (2024)
by: Woerner, Stefano, et al.
Published: (2024)
Uncertainty Quantification in Table Structure Recognition
by: Ajayi, Kehinde, et al.
Published: (2024)
by: Ajayi, Kehinde, et al.
Published: (2024)
DeferredSeg: A Multi-Expert Deferral Framework for Trustworthy Medical Image Segmentation
by: Tian, Qiuyu, et al.
Published: (2026)
by: Tian, Qiuyu, et al.
Published: (2026)
MultiRetNet: A Multimodal Vision Model and Deferral System for Staging Diabetic Retinopathy
by: She, Jeannie, et al.
Published: (2025)
by: She, Jeannie, et al.
Published: (2025)
Boundary-Aware Uncertainty Quantification for Wildfire Spread Prediction
by: Funk, Jonas V.
Published: (2026)
by: Funk, Jonas V.
Published: (2026)
Universal Algorithm-Implicit Learning
by: Woerner, Stefano, et al.
Published: (2026)
by: Woerner, Stefano, et al.
Published: (2026)
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
by: Chen, Luke, et al.
Published: (2025)
by: Chen, Luke, et al.
Published: (2025)
Dissipative Learning: A Framework for Viable Adaptive Systems
by: Caraffa, Laurent
Published: (2026)
by: Caraffa, Laurent
Published: (2026)
Uncertainty Quantification for Visual Object Pose Estimation
by: Shaikewitz, Lorenzo, et al.
Published: (2025)
by: Shaikewitz, Lorenzo, et al.
Published: (2025)
Deep Unsupervised Anomaly Detection in Brain Imaging: Large-Scale Benchmarking and Bias Analysis
by: Frotscher, Alexander, et al.
Published: (2025)
by: Frotscher, Alexander, et al.
Published: (2025)
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset
by: Woerner, Stefano, et al.
Published: (2024)
by: Woerner, Stefano, et al.
Published: (2024)
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification
by: Hui, Long, et al.
Published: (2025)
by: Hui, Long, et al.
Published: (2025)
Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes
by: Hoche, Joseph, et al.
Published: (2025)
by: Hoche, Joseph, et al.
Published: (2025)
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
by: Belhasin, Omer, et al.
Published: (2023)
by: Belhasin, Omer, et al.
Published: (2023)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
by: Li, Hao, et al.
Published: (2023)
by: Li, Hao, et al.
Published: (2023)
PH-Dropout: Practical Epistemic Uncertainty Quantification for View Synthesis
by: Sun, Chuanhao, et al.
Published: (2024)
by: Sun, Chuanhao, et al.
Published: (2024)
Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability
by: Dijk, Judith, et al.
Published: (2024)
by: Dijk, Judith, et al.
Published: (2024)
Flow Matching with Uncertainty Quantification and Guidance
by: Han, Juyeop, et al.
Published: (2026)
by: Han, Juyeop, et al.
Published: (2026)
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
by: Valiuddin, M. M. Amaan, et al.
Published: (2023)
by: Valiuddin, M. M. Amaan, et al.
Published: (2023)
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
by: Kaiser, Timo, et al.
Published: (2025)
by: Kaiser, Timo, et al.
Published: (2025)
Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures
by: Xue, Zhipeng, et al.
Published: (2025)
by: Xue, Zhipeng, et al.
Published: (2025)
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
by: Nag, Sayak, et al.
Published: (2025)
by: Nag, Sayak, et al.
Published: (2025)
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
by: Heidrich, Severin, et al.
Published: (2025)
by: Heidrich, Severin, et al.
Published: (2025)
Uncertainty Quantification Framework for Aerial and UAV Photogrammetry through Error Propagation
by: Huang, Debao, et al.
Published: (2025)
by: Huang, Debao, et al.
Published: (2025)
Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
by: Lee, Junhyeok, et al.
Published: (2026)
by: Lee, Junhyeok, et al.
Published: (2026)
Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
by: Abboud, Zeinab, et al.
Published: (2024)
by: Abboud, Zeinab, et al.
Published: (2024)
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
by: Manor, Hila, et al.
Published: (2023)
by: Manor, Hila, et al.
Published: (2023)
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning
by: Lehmann, Nils, et al.
Published: (2024)
by: Lehmann, Nils, et al.
Published: (2024)
These Magic Moments: Differentiable Uncertainty Quantification of Radiance Field Models
by: Ewen, Parker, et al.
Published: (2025)
by: Ewen, Parker, et al.
Published: (2025)
ObjectTransforms for Uncertainty Quantification and Reduction in Vision-Based Perception for Autonomous Vehicles
by: Sahu, Nishad, et al.
Published: (2025)
by: Sahu, Nishad, et al.
Published: (2025)
Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints
by: Jäger, Miriam, et al.
Published: (2023)
by: Jäger, Miriam, et al.
Published: (2023)
Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification
by: Liu, Shengjie, et al.
Published: (2025)
by: Liu, Shengjie, et al.
Published: (2025)
Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification
by: Asgharnezhad, Hamzeh, et al.
Published: (2025)
by: Asgharnezhad, Hamzeh, et al.
Published: (2025)
Uncertainty Quantification for cross-subject Motor Imagery classification
by: Manivannan, Prithviraj, et al.
Published: (2024)
by: Manivannan, Prithviraj, et al.
Published: (2024)
ClaudesLens: Uncertainty Quantification in Computer Vision Models
by: Shaar, Mohamad Al, et al.
Published: (2024)
by: Shaar, Mohamad Al, et al.
Published: (2024)
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
by: Zepf, Kilian, et al.
Published: (2023)
by: Zepf, Kilian, et al.
Published: (2023)
Similar Items
-
Conformal Performance Range Prediction for Segmentation Output Quality Control
by: Wundram, Anna M., et al.
Published: (2024) -
Rethinking Uncertainty Quantification and Entanglement in Image Segmentation
by: Christensen, Jakob Lønborg, et al.
Published: (2026) -
Melanoma Detection with Uncertainty Quantification
by: Kim, SangHyuk, et al.
Published: (2024) -
Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification
by: Sun, Susu, et al.
Published: (2025) -
Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging
by: Woerner, Stefano, et al.
Published: (2024)