biggzlar / plausible-uncertainties

Methods used in the paper "Plausible Uncertainties for Human Pose Regression".
https://openaccess.thecvf.com/content/ICCV2023/papers/Bramlage_Plausible_Uncertainties_for_Human_Pose_Regression_ICCV_2023_paper.pdf
MIT License
10 stars 0 forks source link
bayesian-inference calibration deep-learning machine-learning probabilistic-models probability-theory uncertainty uncertainty-estimation uncertainty-quantification uncertainty-visualization

Plausible Uncertainties

This repo contains methods used in the paper "Plausible Uncertainties for Human Pose Regression" published at ICCV 2023. Where noted in the code, these methods have been adapted from prior work. They also include our own interpretation of multivariate deep evidential regression.

For further information, see the following links:
Supplementary
Intro video

Examples

Univariate

Deep evidential regression Kendall-style MLE and MC dropout
Deep evidential regression Kendall-style MLE and MC dropout

Multivariate

Deep evidential regression Kendall-style MLE and MC dropout
Deep evidential regression Kendall-style MLE and MC dropout