Inhyuk Jo

Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks

We present a new method to generate fake data in unknown classes in generative adversarial networks (GANs) framework. The generator in GANs is trained to generate somewhat similar to data in known classes but the different one by modelling noisy distribution on feature space of a classifier using pr…