Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles

This package is part of the signal-processing and machine learning toolbox Bob_.

This package contains source code to replicate the main experimental results published in the following paper::

@inproceedings{george2022,
    author = {Anjith George, Amir Mohammadi and Sebastien Marcel},
    title = {Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles},
    year = {2022},
    booktitle = {IEEE Transactions on Information Forensics and Security},
}

If you use this package and/or its results, please consider citing the paper.

The source code is hosted in Idiap's gitlab: https://gitlab.idiap.ch/bob/bob.paper.tifs2022_hfr_prepended_domain_transformer