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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/34746
Title: Practical aspects of deep learning for person identification
Authors: Rogachev, N. E.
Ramanouski, Y. Y.
Guletskii, N. V.
Keywords: материалы конференций;deep learning;supervised learning;person identification
Issue Date: 2019
Publisher: БГУИР
Citation: Rogachev, N. E. Practical aspects of deep learning for person identification / N. E. Rogachev, Y. Y. Ramanouski, N. V. Guletskii // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : сборник материалов V Международной научно-практической конференции, Минск, 13–14 марта 2019 г. В 2 ч. Ч. 1 / Белорусский государственный университет информатики и радиоэлектроники; редкол. : В. А. Богуш [и др.]. – Минск, 2019. – С. 50 – 56.
Abstract: This paper focuses on the peculiarities of implementing and training fast and accurate models for person identification. During our research, we have evaluated numerous datasets, deep neural network architectures, loss functions and training techniques both for face- and body-based identification.
URI: https://libeldoc.bsuir.by/handle/123456789/34746
Appears in Collections:BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2019)

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