cv.md

Awesome Machine Learning Fairness - Computer Vision

1. A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others, CVPR'23
2. Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers, CVPR'22
3. Fair Contrastive Learning for Facial Attribute Classification, CVPR'22
4. Learning Fair Classifiers with Partially Annotated Group Labels, CVPR'22
5. Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models, CVPR'22
6. Discover and Mitigate Unknown Biases with Debiasing Alternate Networks, ECCV'22
7. Discover the Unknown Biased Attribute of an Image Classifier, ICCV'21