Impelmentation for paper Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing

Last update: Jun 02, 2022

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Deep Learning FGHV

Overview

FGHV

Impelmentation for paper Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing

Requirements

Python 3.6
Pytorch 1.5.0
Cuda 10.1

Citation

Please consider citing our paper in your publications if the project helps your research. BibTeX reference is as follow.

@inproceedings{Liu_2022_AAAI,
  title={Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing},
  author={Shice Liu, Shitao Lu, Hongyi Xu, Jing Yang, Shouhong Ding, Lizhuang M},
  booktitle={Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI)},
  pages={},
  year={2022}
}

Owner

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The tool under this branch fork can be used to crack devices above A12 and up to A15. After cracking, you can also use SSH channel strong opening tool to open SSH channel and activate it with Demo or Shell script. The file can be extracted from my Github homepage, and the SSH channel opening tool can be extracted from Dr238 account.

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Impelmentation for paper Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing

Related tags

Overview

FGHV

Requirements

Citation

Owner

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