15 citations · 86 across the 22 of their papers we have counts for
3 papers · 1 filter
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN
Zilong Zhao, Jiyue Huang, Stefanie Roos +1
Generative Adversarial Networks (GANs) are increasingly adopted by the industry to synthesize realistic images. Due to data not being centrally available, Multi-Discriminator (MD)-…
ComicGAN: Text-to-Comic Generative Adversarial Network
Ben Proven-Bessel, Zilong Zhao, Lydia Chen
Drawing and annotating comic illustrations is a complex and difficult process. No existing machine learning algorithms have been developed to create comic illustrations based on de…
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators
Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian +2
Multi-label learning is an emerging extension of the multi-class classification where an image contains multiple labels. Not only acquiring a clean and fully labeled dataset in mul…