Probabilistic Parameter Estimators and Calibration Metrics for Pose
Estimation from Image Features

Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features

23 July 2024

Matthew Sorgenfrei

Mykel J. Kochenderfer

ArXiv (abs)PDF HTML

Papers citing "Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features"

7 / 7 papers shown

Title
Towards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and Run-Time Error Detection Romeo Valentin AAML 30 1 0 12 Mar 2024
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 204 622 0 15 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 229 1,150 0 07 Jul 2021
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 173 451 0 17 Jun 2020
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 359 4,709 0 15 Mar 2017
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 280 19,107 0 20 Dec 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 166 4,304 0 18 Nov 2011

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