Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation

Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation

19 July 2023

Yuchao Dai

Papers citing "Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation"

8 / 8 papers shown

Title
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 175 328 0 01 Oct 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 200 81 0 16 Feb 2021
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking Jianfeng Yan Zizhuang Wei Hongwei Yi Mingyu Ding Runze Zhang Yisong Chen Guoping Wang Yu-Wing Tai 3DV 69 150 0 21 Jul 2020
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 180 1,707 0 06 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,356 0 25 Aug 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 252 9,134 0 06 Jun 2015