This Dataverse contains visual learning related research data of the Interdisciplinary Center for Scientific Computing at Heidelberg University.

Website Visual Learning Lab Heidelberg
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1 to 10 of 26 Results
DSAC* Visual Re-Localization [Data]
Jan 7, 2022
Brachmann, Eric, 2020, "DSAC* Visual Re-Localization [Data]", https://doi.org/10.11588/data/N07HKC, heiDATA, V2
Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes dataset, as well as precomputed camera coordinate files for both aforementioned datasets. For more inf...
pretrained_models.tar.gz
Jan 7, 2022 - DSAC* Visual Re-Localization [Data]
Gzip Archive - 1.6 GB - MD5: 3ed5ec292f6aa5b8b3d8be47c103d5f4
Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]
Sep 7, 2020
Brachmann, Eric, 2020, "Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]", https://doi.org/10.11588/data/3JVZSH, heiDATA, V1
Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset. For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC
7scenes_models.tar.gz
Sep 7, 2020 - Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]
Gzip Archive - 3.9 GB - MD5: 60faa75a1b48608ebf0afc417c12716d
DSAC++ Visual Camera Re-Localization [Data]
Sep 7, 2020
Brachmann, Eric, 2020, "DSAC++ Visual Camera Re-Localization [Data]", https://doi.org/10.11588/data/EGCMUU, heiDATA, V1
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 mo...
cambridge_rendered_depth.zip
Sep 7, 2020 - DSAC++ Visual Camera Re-Localization [Data]
ZIP Archive - 6.1 GB - MD5: 778623d521d814881e93e05df2987627
data_structure.tar.gz
Sep 7, 2020 - DSAC++ Visual Camera Re-Localization [Data]
Gzip Archive - 6.1 GB - MD5: 3c4f0e198fd2cc1f153c4378c1265269
6D Object Pose Estimation using 3D Object Coordinates [Data]
Sep 7, 2020
Brachmann, Eric, 2020, "6D Object Pose Estimation using 3D Object Coordinates [Data]", https://doi.org/10.11588/data/V4MUMX, heiDATA, V1
Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth poses and segmentation as well as 3D models. Additionally, a collection of RGB-D images showing office ba...
20objects.zip
Sep 7, 2020 - 6D Object Pose Estimation using 3D Object Coordinates [Data]
ZIP Archive - 4.4 GB - MD5: e59d05612be04c6999ae0a62ce82b917
bgs.zip
Sep 7, 2020 - 6D Object Pose Estimation using 3D Object Coordinates [Data]
ZIP Archive - 1.1 GB - MD5: d9c531e3d1c2505d6fc74c994722d956
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