Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data

Kai Katsumata, Duc Minh Vo, Tatsuya Harada +1

Label-noise or curated unlabeled data is used to compensate for the assumption of clean labeled data in training the conditional generative adversarial network; however, satisfying…