@article{,
title= {flyingthings3d__one_quarter_baseline__cleanpass.tar.bz2},
journal= {},
author= {Nikolaus Mayer},
year= {},
url= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html},
abstract= {This torrent contains the "Cleanpass" image data for a one-quarter-baseline version 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).},
keywords= {Dataset, optical flow, synthetic, disparity, scene flow},
terms= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html#tou},
license= {},
superseded= {}
}