Gradient-based Uncertainty for Monocular Depth Estimation

3 August 2022

Papers citing "Gradient-based Uncertainty for Monocular Depth Estimation"

9 / 9 papers shown

Title
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 57 0 0 09 Feb 2025
Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images Yingzhi Tang Qijian Zhang Junhui Hou Yebin Liu 3DPC 3DH 93 2 0 06 Nov 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation Zizhang Wu Zhuozheng Li Zhi-Gang Fan Yunzhe Wu Xiaoquan Wang Rui Tang Jian Pu 23 1 0 26 Sep 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 16 4 0 17 Aug 2023
Robust Self-Supervised Extrinsic Self-Calibration Takayuki Kanai Igor Vasiljevic Vitor Campagnolo Guizilini Adrien Gaidon Rares Ambrus SSL MDE 8 5 0 04 Aug 2023
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 27 10 0 21 Nov 2022
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 195 328 0 01 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015