ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.05233
  4. Cited By
Continual Adaptation for Deep Stereo

Continual Adaptation for Deep Stereo

10 July 2020
Matteo Poggi
A. Tonioni
Fabio Tosi
S. Mattoccia
Luigi Di Stefano
    OOD
ArXivPDFHTML

Papers citing "Continual Adaptation for Deep Stereo"

9 / 9 papers shown
Title
NeRF-Supervised Deep Stereo
NeRF-Supervised Deep Stereo
Fabio Tosi
A. Tonioni
Daniele De Gregorio
Matteo Poggi
MDE
21
42
0
30 Mar 2023
Booster: a Benchmark for Depth from Images of Specular and Transparent
  Surfaces
Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces
Pierluigi Zama Ramirez
Alex Costanzino
Fabio Tosi
Matteo Poggi
Samuele Salti
S. Mattoccia
Luigi Di Stefano
MDE
30
21
0
19 Jan 2023
Unsupervised confidence for LiDAR depth maps and applications
Unsupervised confidence for LiDAR depth maps and applications
Andrea Conti
Matteo Poggi
Filippo Aleotti
S. Mattoccia
3DV
29
12
0
06 Oct 2022
PointFix: Learning to Fix Domain Bias for Robust Online Stereo
  Adaptation
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation
Kwonyoung Kim
Jungin Park
Jiyoung Lee
Dongbo Min
Kwanghoon Sohn
3DPC
31
3
0
27 Jul 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
Feng Yu
TTA
43
149
0
16 Jun 2022
Open Challenges in Deep Stereo: the Booster Dataset
Open Challenges in Deep Stereo: the Booster Dataset
Pierluigi Zama Ramirez
Fabio Tosi
Matteo Poggi
Samuele Salti
S. Mattoccia
Luigi Di Stefano
3DV
MDE
27
29
0
09 Jun 2022
Revisiting Domain Generalized Stereo Matching Networks from a Feature
  Consistency Perspective
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective
Jiawei Zhang
Xiang Wang
Xiao Bai
Chen Wang
Lei Huang
Yimin Chen
Lin Gu
Jun Zhou
Tatsuya Harada
Edwin R. Hancock
24
55
0
21 Mar 2022
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view
  Stereo
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
Lukas Koestler
Nan Yang
Niclas Zeller
Daniel Cremers
MDE
69
68
0
14 Nov 2021
Neural Disparity Refinement for Arbitrary Resolution Stereo
Neural Disparity Refinement for Arbitrary Resolution Stereo
Filippo Aleotti
Fabio Tosi
Pierluigi Zama Ramirez
Matteo Poggi
Samuele Salti
S. Mattoccia
Luigi Di Stefano
3DV
12
26
0
28 Oct 2021
1