Deep Learning, Artificial Intelligence, Semi Supervised Learning, Image Classification, Data Augmentation.
weak augmentation to it. Then, K strongly-augmented versions of the same unlabeled input are generated using CTAugment (described below). The guessed label (after applying distribution alignment and sharpening) is used as the target for all of the K strongly-augmented versions of the image. 3.1.