Abstract:
This torrent contains the "Flow Occlusion Weights" 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).

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

@article{,
title= {FlyingThings3D_subset_flow_occlusion_weights.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 "Flow Occlusion Weights" 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superseded= {},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}
}