Official repository for the OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions at 2022 International Joint Conference on Biometrics (IJCB 2022).
The paper can be viewed at: arXiv
Please also find a sample of an evaluation script in the "evaluation.py" file.
We will release the code to generate the occluded images soon. Just by adding a new occluder image and its information in the "occluders.csv" you can use the script to create a new benchmark dataset. Hence, this dataset can be extended overtime with contributions from the community.
Moreover, these occlusions can be easly applied to other base datasets. For instance, AgeDB-30, MS1MV2, etc.
The code was extended from the initial code of Self-restrained-Triplet-Loss.
If you use our code or data in your research, please cite with:
@article{neto2022ocfr,
title={OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions},
author = {Neto, Pedro C. and Boutros, Fadi and Pinto, Joao Ribeiro and Damer, Naser and Sequeira, Ana F. and Cardoso, Jaime S. and Bengherabi, Messaoud and Bousnat, Abderaouf and Boucheta, Sana and Hebbadj, Nesrine and Yahya-Zoubir, Bahia and Erakın, Mustafa Ekrem and Demir, Uğur and Ekenel, Hazım Kemal and Vidal, Pedro Beber de Queiroz and Menotti, David},
journal={arXiv preprint arXiv:2208.02760},
year={2022}
}
and
@TechReport{LFWTech,
author = {Gary B. Huang and Manu Ramesh and Tamara Berg and
Erik Learned-Miller},
title = {Labeled Faces in the Wild: A Database for Studying
Face Recognition in Unconstrained Environments},
institution = {University of Massachusetts, Amherst},
year = 2007,
number = {07-49},
month = {October}}
- Link to the preprint
- Citation to arXiv
- Link to the published paper
- Citation published version
- Evaluation script
- Upload occluders
- Script to generate the data
Attribution-NonCommercial-ShareAlike 4.0 International
This project is licensed under the terms of the Attribution-NonCommercial-ShareAlike 4.0
International (CC BY-NC-SA 4.0) license.
Copyright (c) 2022 Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência
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