Tomoki Watanabe

A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention

We propose a novel GAN training scheme that can handle any level of labeling in a unified manner. Our scheme introduces a form of artificial labeling that can incorporate manually defined labels, when available, and induce an alignment between them. To define the artificial labels, we exploit the as…