Self-Paced Deep Regression Forests with Consideration on Ranking Fairness. (arXiv:2112.06455v5 [cs.CV] UPDATED)

Deep discriminative models (DDMs), such as deep regression forests, deep
neural decision forests, have been extensively studied recently to solve
problems like facial age estimation, head pose estimation, gaze estimation and
so forth. Such problems are challenging in part because a large amount of
effective training data without noise and bias is often not available. While
some progress has been achieved through learning more discriminative features,
or reweighting samples, we argue what is more desirable is to learn gradually
to …

arxiv cv fairness ranking regression