Gradient-based Uncertainty for Monocular Depth Estimation

3 August 2022

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

7 / 7 papers shown

Title
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 50 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 89 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 18 1 0 26 Sep 2023
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 10 10 0 21 Nov 2022
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 171 324 0 01 Oct 2021
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