Image recognition by a second-order convolutional neural network with dynamic receptive fields

Abstract

This paper presents the method description of convolutional neural networks parameters synthesis with dynamic receptive fields and second-order neurons for convolutional layers. The experiments of pattern recognition which shown that the combination of second-order neurons and dynamic receptive fields allows to reduce the generalization error are described in the article