Synthetic Data for Face Recognition (SDFR) Competition
The 18th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024)

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Trained model for SDFR Competeition at FG 2024
https://www.idiap.ch/challenge/sdfr

Team name: APhi
Task: 1
License: CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

Note: The expected input to the ONNX files are defined in the competition dev kit (available on the 
competition website). In particular, the input image should be in the RGB format and in the range of [0,1].

For description of the method please check the competition paper.

If you use the reported results or trained model, please cite the competition paper:

@inproceedings{sdfr,
    author       = {Hatef Otroshi Shahreza and others},
    title        = {SDFR: Synthetic Data for Face Recognition Competition},
    booktitle    = {2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)},
    organization = {IEEE},
    year         = {2024}
}