Please use this identifier to cite or link to this item: https://elib.psu.by/handle/123456789/36934
Title: Object localization and classification based on convolutional neural networks
Authors: Vorobyov, D.
Bohush, R.
Issue Date: 2017
Publisher: Полоцкий государственный университет
Citation: Vorobyov, D. Object localization and classification based on convolutional neural networks / D. Vorobyov, R. Bohush // European and National Dimension in Research = Европейский и национальный контексты в научных исследованиях : electronic collected materials of IX Junior Researchers' Conference, Novopolotsk, April 26-27, 2017 : in 3 parts / Ministry of Education of Belarus, Polotsk State University ; ed. Dr. Dzmitry Lazouski [et al.]. - Novopolotsk : PSU, 2017. - Part 3 : Technology. - P. 323-326.
Abstract: The paper deals with the basic structural elements of the convolution neural network as well as methods for describing and tested methods of localization of objects in the neural network. Effective approaches are proposed for the construction of algorithm of objects localization. The results of the implementation of the algorithm are presented.
URI: https://elib.psu.by/handle/123456789/36934
Appears in Collections:European and National Dimension in Research. Technology. 2017
Машинное обучение. Обработкой изображений и видео. Интеллектуальные системы. Информационная безопасность

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