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Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets
(Elsevier, 2019-08-01)
A data augmentation methodology is presented and applied to generate a large dataset of off-axis iris regions and train a low-complexity deep neural network. Although of low complexity the resulting network achieves a high ...
Re-training StyleGAN-A first step towards building large, scalable synthetic facial datasets
(Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)
StyleGAN is a state-of-art generative adversarial network architecture that generates random 2D high-quality synthetic facial data samples. In this paper we recap the StyleGAN architecture and training methodology and ...