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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 ...
Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – example methodologies and use cases
(XPERI Inc., 2018-05-23)
Deep neural networks (DNNs) are typically trained on specific datasets, optimized with particular discriminating capabilities. Often several different DNN topologies are developed solving closely related aspects of a ...
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 ...
Synthesizing game audio using deep neural networks
(Institute of Electrical and Electronics Engineers, 2018-08-15)
High quality audio plays an important role in gaming, contributing to player immersion during gameplay. Creating audio content which matches overall theme and aesthetic is essential, such that players can become fully ...