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Paper package for the IJCB 2021 paper "On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing"

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On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing

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

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

@inproceedings{georgeijcb2021,
    author = {Anjith George and Sebastien Marcel},
    title = {On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing},
    year = {2021},
    booktitle = {International Joint Conference on Biometrics (IJCB 2021)},
}

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.ijcb2021_vision_transformer_pad

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Paper package for the IJCB 2021 paper "On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing"

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