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cs.CV2019
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran +3
The field of neural generative models is dominated by the highly successful Generative Adversarial Networks (GANs) despite their challenges, such as training instability and mode c…
cs.CV2019
Revisiting CycleGAN for semi-supervised segmentation
Arnab Kumar Mondal, Aniket Agarwal, Jose Dolz +1
In this work, we study the problem of training deep networks for semantic image segmentation using only a fraction of annotated images, which may significantly reduce human annotat…