On the confidence of stereo matching in a deep-learning era: a
quantitative evaluation

On the confidence of stereo matching in a deep-learning era: a quantitative evaluation

2 January 2021

Matteo Poggi

Fabio Tosi

Filippo Aleotti

Dongbo Min

Papers citing "On the confidence of stereo matching in a deep-learning era: a quantitative evaluation"

7 / 7 papers shown

Title
Robust and Flexible Omnidirectional Depth Estimation with Multiple 360-degree Cameras Ming Li Xueqian Jin Xuejiao Hu Jinghao Cao S. Du Yang Li MDE 48 0 0 23 Sep 2024
Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep Jae Young Lee Woonghyun Ka Jaehyun Choi Junmo Kim 20 1 0 22 Jan 2024
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation Liyan Chen Weihan Wang Philippos Mordohai UQCV 19 27 0 31 Mar 2023
Unsupervised confidence for LiDAR depth maps and applications Andrea Conti Matteo Poggi Filippo Aleotti S. Mattoccia 3DV 34 12 0 06 Oct 2022
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation Kwonyoung Kim Jungin Park Jiyoung Lee Dongbo Min Kwanghoon Sohn 3DPC 31 4 0 27 Jul 2022
Neural Disparity Refinement for Arbitrary Resolution Stereo Filippo Aleotti Fabio Tosi Pierluigi Zama Ramirez Matteo Poggi Samuele Salti S. Mattoccia Luigi Di Stefano 3DV 14 26 0 28 Oct 2021
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey Yang Tang Chaoqiang Zhao Jianrui Wang Chongzhen Zhang Qiyu Sun Weixing Zheng W. Du Feng Qian Jürgen Kurths 18 65 0 08 Jan 2020