You're currently viewing an old version of this dataset. To see the current version, click here.

Flying Chairs

The dataset used in the paper is not explicitly described, but it is mentioned that the authors applied their approach to the challenging problem of optical flow estimation and empirically validated it against state-of-the-art CNN-based solutions trained from scratch and tested on large optical flow datasets.

Data and Resources

This dataset has no data

Cite this as

Sean I. Young, William M. Wells, Yaël Balbastre, Adrian V. Dalca, Bruce Fischl, Juan Eugenio Iglesias (2024). Dataset: Flying Chairs. https://doi.org/10.57702/9phl0l35

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2006.04902
Citation	https://doi.org/10.1109/ICIP.2017.8296744 https://doi.org/10.48550/arXiv.2306.05691
Author	Sean I. Young
More Authors	William M. Wells Yaël Balbastre Adrian V. Dalca Bruce Fischl Juan Eugenio Iglesias
Homepage	https://github.com/balbasty/superwarp