Results for HSM-Net_RVC

Submitted by Gengshan Yang.

Submission data

Full nameHierarchical Deep Stereo Matching on High- Resolution Images
DescriptionAn end-to-end framework that searches for
correspondences incrementally over a coarse-to-fine
hierarchy designed for high-resolution stereo
matching.
Parameters- Middlebury model ran at 3.2X original ETH3D resolution;
- max_disparity set to 320px (before upsampling)
Publication titleHierarchical Deep Stereo Matching on High-resolution Images
Publication authorsGengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan
Publication venueCVPR 2019
Publication URLhttps://github.com/gengshan-y/high-res-stereo
Programming language(s)Python
HardwareTitanXp
Websitehttps://github.com/gengshan-y/high-res-stereo
Source code or download URLhttps://github.com/gengshan-y/high-res-stereo
Submission creation date12 Aug, 2020
Last edited14 Aug, 2020

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permissivetwo views0.670.342.230.260.190.670.291.260.690.720.700.780.423.770.410.130.090.100.090.120.11

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