On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression

24 February 2022

Papers citing "On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression"

6 / 6 papers shown

Title
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Tao Sun Sander M. Bohté UQCV BDL 91 0 0 29 Nov 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 6 4 0 17 Aug 2023
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network Chen-Chou Lo P. Vandewalle MDE 32 33 0 15 Jul 2021
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 180 1,687 0 06 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015