基于深度学习的人体姿态识别.zip

# Plausible Uncertainties This repo contains 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)* 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: <br> [Supplementary](https://openaccess.thecvf.com/content/ICCV2023/supplemental/Bramlage_Plausible_Uncertainties_for_ICCV_2023_supplemental.pdf) <br> [Intro video](https://youtu.be/mMEeU1Zm3iY) # Examples ## Univariate Deep evidential regression | Kendall-style MLE and MC dropout :----------------------------------------------------------------------:|:----------------------------------------------------------------------:  |  ## Multivariate Deep evidential regression | Kendall-style MLE and MC dropout :----------------------------------------------------------------------:|:----------------------------------------------------------------------:  |