Extraction of Human Body Parts in Image Using Convolutional Neural Network and Attention Model and attention model. The novelty of the proposed work is that algorithm is based on a
convolutional neural
Compressing a convolution neural network based on quantization. In this
paper we experimentally investigate approaches to compression of
convolutional neural network
Theory of vibronic optical spectra of impurity centers with violation of the Condon approximation to the Schrödinger
equation for an electronic subsystem has been considered to the first order of the perturbation
3D Molecular Representations Based on the Wave Transform for Convolutional Neural Networks© 2018 American Chemical Society.
Convolutional neural networks (CNN) have been successfully used
Agricultural Fields Segmentation on Satellite Images Using Convolutional Neural NetworksAgricultural fields segmentation algorithms in satellite images are presented. Three
convolutional MARCINKIEWICZ-TYPE INTERPOLATION THEOREM AND ESTIMATES FOR CONVOLUTIONS FOR MORREY-TYPE SPACES is then applied to obtaining a Young-O'Neil-type inequality for the
convolution operator in Morrey-type spaces.
Convolutional neural networks and face recognition task detector. On the next stage we use
convolutional neural networks (CNN) to finally solve face recognition