FlyingThings3D_subset_disparity.tar.bz2
Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox

FlyingThings3D_subset_disparity.tar.bz25.36GB
Type: Dataset
Tags:Dataset, disparity, scene flow, synthetic, optical flow

Bibtex:
@article{,
title= {FlyingThings3D_subset_disparity.tar.bz2},
keywords= {Dataset, optical flow, synthetic, disparity, scene flow},
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 DispNet/FlowNet2.0 subset of the "FlyingThings3D" 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superseded= {},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}
}


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Average Time 3 hours, 36 minutes, 25 seconds
Average Speed 413.13kB/s
Best Time 3 hours, 36 minutes, 25 seconds
Best Speed 413.13kB/s
Worst Time 3 hours, 36 minutes, 25 seconds
Worst Speed 413.13kB/s
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