no code implementations • 24 Oct 2021 • Uche Osahor, Nasser M. Nasrabadi
Generative adversarial models that capture salient low-level features which convey visual information in correlation with the human visual system (HVS) still suffer from perceptible image degradations.
no code implementations • 18 Oct 2021 • Uche Osahor, Nasser M. Nasrabadi
In few-shot classification, the primary goal is to learn representations from a few samples that generalize well for novel classes.
1 code implementation • 20 Apr 2020 • Uche Osahor, Hadi Kazemi, Ali Dabouei, Nasser Nasrabadi
We incorporate a hybrid discriminator which performs attribute classification of multiple target attributes, a quality guided encoder that minimizes the perceptual dissimilarity of the latent space embedding of the synthesized and real image at different layers in the network and an identity preserving network that maintains the identity of the synthesised image throughout the training process.