DSAC++ Visual Camera Re-Localization [Data]

DOI

Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide pre-trained models of our method for the MSR 7Scenes dataset and the Cambridge Landmarks dataset.

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

Identifier
DOI https://doi.org/10.11588/data/EGCMUU
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/EGCMUU
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/zip; application/gzip
Size 6497241306; 6513544101
Version 1.1
Discipline Other
Spatial Coverage Dresden