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Data · dataset · 2020

Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]

Listed in heiDATA

Description

Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate NG-RANSAC. For more information, also see the code documentation: github.com/vislearn/ngransac

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Where it is published

Catalogue records · 1

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Image 65%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
heiDATAdoi:10.11588/DATA/PCGYET18 h agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:460304mapping · heidata uni heidelberg devocabulary-mapper@1.0.0keywords['Computer Vision']
concepts[field].anzsrc:group:4611mapping · heidata uni heidelberg devocabulary-mapper@1.0.0keywords['Machine Learning']
concepts[field].dataverse_subject:computer-and-information-sciencesource · heidata uni heidelberg deconnector:heidata_uni_heidelberg_de@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · heidata uni heidelberg deconnector:heidata_uni_heidelberg_de@1.0.0/subjects
concepts[modality].local:modality:imageenrichment · heidata uni heidelberg dekeyword-concept-rules@1.0.0title+description (65%)
created_datesource · heidata uni heidelberg deconnector:heidata_uni_heidelberg_de@1.0.0
descriptionsource · heidata uni heidelberg deconnector:heidata_uni_heidelberg_de@1.0.0/description
publication_datesource · heidata uni heidelberg deconnector:heidata_uni_heidelberg_de@1.0.0
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