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ZIP Archive - 2.9 MB - MD5: 59f1f152825a307b9c9327c08e2f9fd3
ZIP Archive - 2.6 MB - MD5: 6ec19f00a16f919d64fb2b80d750df0f
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]",, heiDATA, V1
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:
Gzip Archive - 3.7 GB - MD5: f355d705c75ac77d0d96ec823d47151d
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]",, heiDATA, V1
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) dataset...
Gzip Archive - 818.7 MB - MD5: 2b271c2a48bc1c5e6d5b07e454fcc698
Gzip Archive - 293.6 MB - MD5: 3905857b74f5beb119c6f4f6e698502f
Gzip Archive - 464.5 MB - MD5: 38467a7fc661bfefd798207d8dd7e786
Gzip Archive - 1.2 GB - MD5: 3320aa4021267b9e9b668b525939d279
Gzip Archive - 171.4 MB - MD5: f645ecf3f729a42e3647316552309200
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