Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]

DOI

Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also provide pre-trained models of our method for the 7Scenes, 12Scenes, Dubrovnik and Aachen (day) datasets.

For more information, also see the code documentation: https://github.com/vislearn/esac

Identifier
DOI https://doi.org/10.11588/data/GSJE9D
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/GSJE9D
Provenance
Creator Brachmann, Eric
Publisher heiDATA
Contributor Brachmann, Eric; heiDATA: Heidelberg Research Data Repository
Publication Year 2020
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Brachmann, Eric (Technische Universität Dresden)
Representation
Resource Type Dataset
Format application/gzip
Size 858479475; 307829341; 487075454; 1331013410; 179675013; 2057170030; 2056022332
Version 1.1
Discipline Other
Spatial Coverage Dresden