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superseded= {},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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Average Speed 14.04MB/s
Best Time 11 mins, 21 secs
Best Speed 14.04MB/s
Worst Time 11 mins, 21 secs
Worst Speed 14.04MB/s

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