deel-ai-papers / conformal-segmentationLinks
[CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation
☆26Updated last year
Alternatives and similar repositories for conformal-segmentation
Users that are interested in conformal-segmentation are comparing it to the libraries listed below
Sorting:
- Code repository for the paper "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction" @ ECCV 2024 (Oral)☆13Updated 8 months ago
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆14Updated last year
- Large-scale uncertainty benchmark in deep learning.☆64Updated 8 months ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated last year
- ☆17Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆106Updated 10 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆75Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Updated 2 years ago
- 🐟 CODS - Conformal Object Detection and Segmentation☆20Updated last month
- ☆11Updated 9 months ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆73Updated last year
- Active Learning in the era of Foundation Models☆11Updated 9 months ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆35Updated last year
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Updated 3 years ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆59Updated 2 years ago
- This repository contains an official implementation of LPBNN.☆38Updated 2 years ago
- ☆11Updated 2 years ago
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)☆18Updated last year
- A package for conformal prediction with conditional guarantees.☆67Updated 3 months ago
- 👋 Overcomplete is a Vision-based SAE Toolbox☆114Updated last month
- ☆109Updated 4 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆467Updated this week
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆31Updated last year
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆71Updated 2 years ago
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆12Updated 2 years ago
- Benchmark study of quality and faithfulness of counterfactual image generation☆30Updated 8 months ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆33Updated 3 years ago
- ☆25Updated 3 years ago