fregu856 / evaluating_bdlLinks
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
☆131Updated 4 years ago
Alternatives and similar repositories for evaluating_bdl
Users that are interested in evaluating_bdl are comparing it to the libraries listed below
Sorting:
- 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
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆166Updated 5 years ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆68Updated 4 years ago
- This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…☆228Updated 11 months ago
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆67Updated 3 years ago
- Uncertainty estimation for anchor-based deep object detectors.☆39Updated 4 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆101Updated 2 weeks 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…☆79Updated 3 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆75Updated 4 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆138Updated 7 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation☆32Updated 2 years ago
- ☆84Updated 6 years ago
- ☆53Updated 7 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 5 years ago
- Attentive Single-tasking of Multiple Tasks☆83Updated 5 years ago
- Calibration of Convolutional Neural Networks☆166Updated 2 years ago
- ☆66Updated 5 years ago
- [CVPR'20] Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"☆143Updated 2 years ago
- Toolbox for the ONERA Delta project☆40Updated 9 months ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆81Updated 5 years ago
- Addressing Failure Prediction by Learning Model Confidence☆172Updated 2 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆156Updated 2 years ago
- Implementation of Deep evidential regression paper☆57Updated 4 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch☆72Updated 6 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆76Updated last year