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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 ...
The application of deep learning on depth from multi-array camera
(Institute of Electrical and Electronics Engineers, 2018-01-02)
Consumer-level multi-array cameras are a key enabling technology for next generation smartphones imaging systems. The present paper aims to analyze the accuracy of the depth estimation while using different camera combinations ...
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 ...