Browsing College of Engineering and Informatics by Subject "Deep neural networks"
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Latent space mapping for generation of object elements with corresponding data annotation
(Elsevier, 2018-10-25)Deep neural generative models such as Variational Auto-Encoders (VAE) and Generative Adversarial Networks (GAN) give promising results in estimating the data distribution across a range of machine learning fields of ... -
Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera
(Society of Photo-optical Instrumentation Engineers (SPIE), 2018-08-07)Deep neural networks have been applied to a wide range of problems in recent years. Convolutional neural network is applied to the problem of determining the depth from a single camera image (monocular depth). Eight different ...