flyingthings3d__optical_flow.tar.bz2
Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox

flyingthings3d__optical_flow.tar.bz2 332.94GB
Type: Dataset
Tags: Dataset, optical flow, synthetic, disparity, scene flow
Abstract:

This torrent contains the "Optical Flow" data for 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).



URL: https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html
License: No license specified, the work may be protected by copyright.

Terms: https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html#tou



Bibtex:
@article{,
title= {flyingthings3d__optical_flow.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 "Optical Flow" data for 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superseded= {},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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