2019
MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition
CVPR 2019poster
Deep Neural Networks (DNNs) have achieved remarkable successes in large-scale visual recognition. However, they often suffer from overfitting under noisy labels. To alleviate this problem, we propose a conceptually simple but effective MetaCleaner, which can learn to hallucinate a clean representati…