Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/25243
Title: Review of Modern Technologies of Computer Vision
Authors: Bezuglova, E. S.
Безуглова, Е. С.
Gladkov, A. V.
Гладков, А. В.
Valuev, G. V.
Валуев, Г. В.
Keywords: Artificial intelligence;OpenCV;Computer vision;Convolutional neural networks;ResNet;YOLO
Issue Date: 2023
Citation: Bezuglova, E., Gladkov, A., Valuev, G. Review of Modern Technologies of Computer Vision // Lecture Notes in Networks and Systems. - 2023. - 702 LNNS, pp. 321-331. - DOI: 10.1007/978-3-031-34127-4_31
Series/Report no.: Lecture Notes in Networks and Systems
Abstract: Today, the use of artificial intelligence technologies is becoming more and more popular. Scientific and technological progress contributes to increasing the power of hardware, as well as obtaining effective methods for implementing methods such as machine learning, neural networks, and deep learning. This created the possibility of creating effective methods for recognizing images and video data, which is what computer vision is. At the time of 2022, a huge number of methods, technologies, and techniques for using computer vision were received, in this paper a study was conducted on the use of computer vision in 2022. Results were obtained on the decrease in the popularity of computer vision in the scientific community, its introduction into industry, medicine, zoology and human social life, the most popular method of computer vision is the ResNet neural network model.
URI: http://hdl.handle.net/20.500.12258/25243
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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