Logo BSU

Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/306260
Title: Hidden Object Masking using Deep Learning
Authors: Bu, Qing
Wan, Wei
Leonov, Ivan
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
Issue Date: 2023
Publisher: Minsk : BSU
Citation: Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 320-323.
Abstract: Image inpainting, the process of filling in missing or damaged regions within images, has witnessed a significant evolution in recent years, driven primarily by deep learning methodologies. This paper provides an overview of modern architectures used for image inpainting, and addresses how they can be applied to protect sensitive information
URI: https://elib.bsu.by/handle/123456789/306260
ISBN: 978-985-881-522-6
Licence: info:eu-repo/semantics/openAccess
Appears in Collections:2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons

Files in This Item:
File Description SizeFormat 
320-323.pdf355,91 kBAdobe PDFView/Open
Show full item record Google Scholar



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.