mattiasegu / uncertainty_estimation_deep_learning
This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).
☆227Updated 5 months ago
Alternatives and similar repositories for uncertainty_estimation_deep_learning:
Users that are interested in uncertainty_estimation_deep_learning are comparing it to the libraries listed below
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆132Updated 4 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆94Updated last year
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆210Updated 5 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆271Updated 2 years ago
- This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…☆128Updated 5 months ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆136Updated 7 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆157Updated 5 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆152Updated 2 years ago
- ☆228Updated 4 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆616Updated 2 years ago
- Uncertainty estimation for anchor-based deep object detectors.☆39Updated 4 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 6 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆136Updated 5 years ago
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆67Updated 3 years ago
- ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionPytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…☆76Updated 3 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆456Updated last year
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆62Updated 4 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- LightProbNets☆26Updated 5 years ago
- Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation☆30Updated last year
- Dropout as Regularization and Bayesian Approximation☆57Updated 6 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- ☆99Updated 3 years ago
- Implementation of Deep evidential regression paper☆53Updated 4 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆72Updated last year
- Code for our paper titled: "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving"☆82Updated 3 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆100Updated 11 months ago
- AM207 project: dissect aleatoric and epistemic uncertainty☆83Updated 5 years ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆65Updated 4 years ago
- Uncertainty in Deep Learning Papers☆35Updated 3 years ago