Cover Image

Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mossina, Luca, Dalmau, Joseba, andéol, Léo
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conformal Object Detection by Sequential Risk Control
by: andéol, Léo, et al.
Published: (2025)

Conformal Prediction for Image Segmentation Using Morphological Prediction Sets
by: Mossina, Luca, et al.
Published: (2025)

Controlling False Positives in Image Segmentation via Conformal Prediction
by: Mossina, Luca, et al.
Published: (2025)

Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)
by: Novello, Paul, et al.
Published: (2024)

Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
by: Novello, Paul, et al.
Published: (2024)

Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography
by: Teneggi, Jacopo, et al.
Published: (2025)

WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts
by: Alijani, Shadi, et al.
Published: (2025)

Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP
by: Zouzou, Alya, et al.
Published: (2025)

Post-hoc Selective Classification for Reliable Synthetic Image Detection
by: Zheng, Kaixiang, et al.
Published: (2026)

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
by: Zepf, Kilian, et al.
Published: (2023)

Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function
by: Yu, Linlin, et al.
Published: (2024)

Post-hoc Self-explanation of CNNs
by: Boubekki, Ahcène, et al.
Published: (2026)

UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation
by: Lucke, Kyle, et al.
Published: (2026)

ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
by: Chen, Danhui, et al.
Published: (2025)

Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
by: Hagos, Misgina Tsighe, et al.
Published: (2025)

Post-hoc Probabilistic Vision-Language Models
by: Baumann, Anton, et al.
Published: (2024)

Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation
by: Sagar, Abhinav
Published: (2020)

A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation
by: Landgraf, Steven, et al.
Published: (2024)

A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
by: Pro, Francesco, et al.
Published: (2024)

3D Semantic Segmentation for Post-Disaster Assessment
by: Le, Nhut, et al.
Published: (2025)

Conformal Prediction Sets for Instance Segmentation
by: Lu, Kerri, et al.
Published: (2026)

Interpretable Generative Models through Post-hoc Concept Bottlenecks
by: Kulkarni, Akshay, et al.
Published: (2025)

Saliency strikes back: How filtering out high frequencies improves white-box explanations
by: Muzellec, Sabine, et al.
Published: (2023)

Navigating Uncertainty in Medical Image Segmentation
by: Zepf, Kilian, et al.
Published: (2024)

Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
by: Timans, Alexander, et al.
Published: (2024)

Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation
by: Pavlitska, Svetlana, et al.
Published: (2025)

Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
by: Bianchi, Matteo, et al.
Published: (2024)

Pitfalls of Conformal Predictions for Medical Image Classification
by: Mehrtens, Hendrik, et al.
Published: (2025)

Flow Matching with Uncertainty Quantification and Guidance
by: Han, Juyeop, et al.
Published: (2026)

Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection
by: Singhal, Rishi, et al.
Published: (2024)

Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction
by: Melki, Paul, et al.
Published: (2025)

Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
by: Dionelis, Nikolaos, et al.
Published: (2024)

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
by: Das, Aryan, et al.
Published: (2026)

On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
by: Manor, Hila, et al.
Published: (2023)

Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation
by: Shojaei, Hanieh, et al.
Published: (2024)

Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection
by: Marnet, Luiza Ribeiro, et al.
Published: (2024)

Adaptive Conformal Prediction for Reliable and Explainable Medical Image Classification
by: Octadion, One, et al.
Published: (2026)

Integrating Background Knowledge in Medical Semantic Segmentation with Logic Tensor Networks
by: Bergamin, Luca, et al.
Published: (2025)

Quantifying Deep Learning Model Uncertainty in Conformal Prediction
by: Karimi, Hamed, et al.
Published: (2023)

Uncertainty Quantification for cross-subject Motor Imagery classification
by: Manivannan, Prithviraj, et al.
Published: (2024)