Self-Supervised GANs

One of the reasons training Generative Adversarial Networks is difficult is due to the notoriously hard problem of learning from non-stationary distributions and catastrophic forgetting. This paper presents a solution through the use of an auxiliary rotation classification task. Thanks for watching!

Видео Self-Supervised GANs канала Connor Shorten