On the Synergies between Machine Learning and Binocular Stereo for Depth
Estimation from Images: a Survey

On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey

18 April 2020

Matteo Poggi

Fabio Tosi

Konstantinos Batsos

Philippos Mordohai

Papers citing "On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey"

5 / 5 papers shown

Title
LeanStereo: A Leaner Backbone based Stereo Network Rafia Rahim Samuel Woerz A. Zell 3DV 47 0 0 24 Mar 2025
Distilling Stereo Networks for Performant and Efficient Leaner Networks Rafia Rahim Samuel Woerz A. Zell 77 0 0 24 Mar 2025
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion Philippe Weinzaepfel Vincent Leroy Thomas Lucas Romain Brégier Yohann Cabon Vaibhav Arora L. Antsfeld Boris Chidlovskii G. Csurka Jérôme Revaud SSL 42 64 0 19 Oct 2022
Separable Convolutions for Optimizing 3D Stereo Networks Rafia Rahim Faranak Shamsafar A. Zell 3DPC 3DV 29 8 0 23 Aug 2021
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 200 1,708 0 06 Jun 2018