In order to generate fairface results on arl model do the following

python train.py python eval.py python analyze_results.py

install conda env via environment.yaml in order to run the repo.

download the fairface database from here: https://github.com/joojs/fairface

Citations

@inproceedings{karkkainenfairface, title={FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation}, author={Karkkainen, Kimmo and Joo, Jungseock}, booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision}, year={2021}, pages={1548--1558} }

@article{lahoti2020fairness, title={Fairness without demographics through adversarially reweighted learning}, author={Lahoti, Preethi and Beutel, Alex and Chen, Jilin and Lee, Kang and Prost, Flavien and Thain, Nithum and Wang, Xuezhi and Chi, Ed}, journal={Advances in neural information processing systems}, volume={33}, pages={728--740}, year={2020} }