deel-ai-papers / conformal-segmentationLinks
Conformal prediction for uncertainty quantification in image segmentation
β23Updated 7 months ago
Alternatives and similar repositories for conformal-segmentation
Users that are interested in conformal-segmentation are comparing it to the libraries listed below
Sorting:
- Large-scale uncertainty benchmark in deep learning.β60Updated 2 months ago
- π CODS - Conformal Object Detection and Segmentationβ14Updated 2 weeks ago
- Code repository for the paper "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction" @ ECCV 2024 (Oral)β13Updated 2 months ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024β28Updated 10 months ago
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)β18Updated last year
- [ICML'24] Conformal Prediction for Deep Classifier via Label Rankingβ12Updated last year
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images withβ¦β56Updated 2 years ago
- Uncertainty-aware representation learning (URL) benchmarkβ105Updated 4 months ago
- Code for experiments to learn uncertaintyβ30Updated 2 years ago
- β17Updated 10 months ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertaintyβ142Updated 2 years ago
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.β12Updated last year
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"β20Updated 3 years ago
- Open-source framework for uncertainty and deep learning models in PyTorchβ409Updated 3 weeks ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classificationβ33Updated 8 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer viβ¦β67Updated 2 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.β18Updated last year
- A toolkit for quantitative evaluation of data attribution methods.β49Updated last week
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentationβ29Updated last year
- β10Updated 3 months ago
- π Overcomplete is a Vision-based SAE Toolboxβ67Updated 3 months ago
- Code for Diff-SCM paperβ98Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Controlβ67Updated 8 months ago
- Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]β12Updated last year
- This repository contains an official implementation of LPBNN.β38Updated 2 years ago
- [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models".β41Updated 8 months ago
- β18Updated last year
- Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Gooβ¦β24Updated 4 years ago
- A package for conformal prediction with conditional guarantees.β60Updated 4 months ago
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"β53Updated last year