driving__disparity.tar.bz2 9.56GB
Type: Dataset

Metadata:
@article{,
title= {driving__disparity.tar.bz2},
keywords= {disparity,scene flow,optical flow,dataset,synthetic},
journal= {},
author= {Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox},
year= {},
url= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html},
license= {},
abstract= {This torrent contains the "Disparity" data for the "Driving" dataset from the CVPR 2016 paper "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation" by Mayer et al. (https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html).},
superseded= {},
terms= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html#tou}
}

Citation:
Mayer, N., Ilg, E., Hausser, P., Fischer, P., Cremers, D., Dosovitskiy, A., & Brox, T.. (2018). driving__disparity.tar.bz2 [Data set]. Academic Torrents. https://academictorrents.com/details/1d642a371312d193ae4523e089bf127917294175
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10 day statistics (9 downloads)
Average Time 51 mins, 58 secs
Average Speed 3.07MB/s
Best Time 30 mins, 01 secs
Best Speed 5.31MB/s
Worst Time 1 hrs, 25 mins, 41 secs
Worst Speed 1.86MB/s

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