Tianze Pan

Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning

In noisy label learning estimating noisy class posteriors plays a fundamental role for developing consistent classifiers as it forms the basis for estimating clean class posteriors and the transition matrix. Existing methods typically learn noisy class posteriors by training a classification model w…