This folder contains a copy of the AFLW dataset [1], recropped and released by [2] to help reproduce the results of the paper:
James Thewlis, Samuel Albanie, Hakan Bilen, Andrea Vedaldi. Unsupervised learning of landmarks via vector exchange. ICCV 2019
Tar contents
TODO explain this split.
The compressed tar file (1.1 GiB) can be downloaded from:
http:/www.robots.ox.ac.uk/~vgg/research/DVE/data/datasets/aflw-recrop.tar.gz
sha1sum: 939fdce0e6262a14159832c71d4f84a9d516de5e
A list of the contents of the tar file are given in tar_include.txt.
The original datasets can also be downloaded from the links below:
- AFLW https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/
- preprocessed AFLW images http://files.ytzhang.net/lmdis-rep/release-v1/aflw/aflw_data.tar.gz
If you use the AFLW dataset, in particular with MTFL split, please cite the following papers:
@inproceedings{koestinger2011annotated,
title={Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization},
author={Koestinger, Martin and Wohlhart, Paul and Roth, Peter M and Bischof, Horst},
booktitle={2011 IEEE international conference on computer vision workshops (ICCV workshops)},
pages={2144--2151},
year={2011},
organization={IEEE}
}
@inproceedings{zhang2018unsupervised,
title={Unsupervised discovery of object landmarks as structural representations},
author={Zhang, Yuting and Guo, Yijie and Jin, Yixin and Luo, Yijun and He, Zhiyuan and Lee, Honglak},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={2694--2703},
year={2018}
}