Learning from Noisy Labels with Decoupled Meta Label Purifier
Learning from Noisy Labels with Decoupled Meta Label Purifier
Training deep neural networks (DNN) with noisy labels is challenging since DNN can easily memorize inaccurate labels, leading to poor generalization ability. Recently, the meta-learning based label correction strategy is widely adopted to tackle this problem via identifying and correcting potential noisy labels with the help of a small set …