Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective

Zhang, Jiawei, Wang, Xiang, Xiao, Bai et al. (7 more authors) (2022) Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. IEEE Conference on Computer Vision and Pattern Recognition. IEEE, pp. 12991-13001.

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Copyright, Publisher and Additional Information:

This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Dates:
  • Accepted: 20 February 2022
  • Published: 27 September 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Date Deposited: 16 Jun 2022 14:50
Last Modified: 19 Nov 2025 15:10
Published Version: https://doi.org/10.1109/CVPR52688.2022.01266
Status: Published
Publisher: IEEE
Series Name: IEEE Conference on Computer Vision and Pattern Recognition
Identification Number: 10.1109/CVPR52688.2022.01266
Related URLs:
Open Archives Initiative ID (OAI ID):

Download

Accepted Version

Filename: Zhang_Revisiting_Domain_Generalized_Stereo_Matching_Networks_From_a_Feature_Consistency_CVPR_2022_paper.pdf

Description: Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective

CLICK TO DOWNLOAD [thumbnail of Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective]

Export

Statistics

View Altmetric information about this item.


CORE (COnnecting REpositories)