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Pavel Laptev, Sergey Litovkin, Sergey Davydenko, Anton Konev, Evgeny Kostyuchenko and Alexander Shelupanov
This paper compares neural networks, specifically Unet, MobileNetV2, VGG16 and YOLOv4-tiny, for image segmentation as part of a study aimed at finding an optimal solution for price tag data analysis. The neural networks considered were trained on an indi...
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Dmitry Baranov, Alexandr Terekhin, Dmitry Bragin and Anton Konev
The determining factor in the accelerated pace of informatization is the increase in the speed and reliability of data transmission networks. In this regard, new and existing standards are developed and modernized. A lot of organizations are constantly w...
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Alexey Semenkov, Dmitry Bragin, Yakov Usoltsev, Anton Konev and Evgeny Kostuchenko
Modern facial recognition algorithms make it possible to identify system users by their appearance with a high level of accuracy. In such cases, an image of the user?s face is converted to parameters that later are used in a recognition process. On the o...
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