Now showing items 1-2 of 2
Getting more from your datasets: Data augmentation, annotation and generative techniques
(XPERI Inc., 2018-05-18)
Deep Learning for embedded vision requires large datasets. Indeed the more varied training data is, the more accurate the trained network. But, acquiring and accurately annotating datasets costs time and money. This talk ...
Fake data - the future of advanced computer vision systems
(NUI Galway, 2018-10-22)
Recent research shows that Data Augmentation techniques and Synthetic Data can improve the accuracy and reduce the susceptibility of Deep Neural Networks to Adversarial Attacks. In this presentation we consider some of the ...