#machine learning
May 2026
Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation
A Confident Learning framework adapted to segmentation for auditing label bias directly in the training data without a clean, unbiased ground truth is presented, and it is shown that label bias influences subgroup separability in the encoder's feature space, an artifact the authors leverage for bias mitigation rather t...
Aditya Parikh, Stella Frank, Snehayan Das et al.
· arXiv.org · 2 citations