Object localization and classification based on convolutional neural networks

Vorobyov, D.; Bohush, R.

Please use this identifier to cite or link to this item: https://elib.psu.by/handle/123456789/36934

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DC Field	Value	Language
dc.contributor.author	Vorobyov, D.	ru_RU
dc.contributor.author	Bohush, R.	ru_RU
dc.date.accessioned	2023-01-09T08:35:25Z	-
dc.date.available	2023-01-09T08:35:25Z	-
dc.date.issued	2017
dc.identifier.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.	ru_RU
dc.identifier.uri	https://elib.psu.by/handle/123456789/36934	-
dc.description.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.	ru_RU
dc.language.iso	en	ru_RU
dc.publisher	Полоцкий государственный университет	ru_RU
dc.title	Object localization and classification based on convolutional neural networks	ru_RU
dc.type	Article	ru_RU
dc.citation.spage	323	ru_RU
dc.citation.epage	326	ru_RU
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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