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Использование сверточных нейронных сетей для реидентификации людей в городских условиях
Интеллектуальные системы. Теория и приложения. 2022. Т. 26. № 1. С. 250–254.
Алексеенко Г., Налчаджи К.
Language:
Russian
Keywords: глубокие нейронные сети
Pikul A. S., Безопасность информационных технологий 2024 Т. 31 № 4 С. 116–127
This article explores the potential use of modern computer vision architectures for the task of deepfake detection. The following architectures are considered: EfficientNet, Vision Transformer (ViT), VisionLSTM (ViL), Vision KAN, and Mamba Vision. The novelty of the approach lies in the application and comparison of these architectures, as well as their combination into paired ensembles ...
Added: December 12, 2025
Ryzhikov A., Hushchyn M., Derkach D., IEEE Access 2023 Vol. 11 P. 104700–104711
Automated analysis of complex systems based on multiple readouts remains a challenge. Change point detection algorithms are aimed to locating abrupt changes in the time series behaviour of a process. In this paper, we present a novel change point detection algorithm based on Latent Neural Stochastic Differential Equations (SDE). Our method learns a non-linear deep ...
Added: October 5, 2023
Grigoryev T., Verezemskaya P., Krinitskiy M. et al., Remote Sensing 2022 Vol. 14 No. 22 Article 5837
Global warming has made the Arctic increasingly available for marine operations and created a demand for reliable operational sea ice forecasts to increase safety. Because ocean-ice numerical models are highly computationally intensive, relatively lightweight ML-based methods may be more efficient for sea ice forecasting. Many studies have exploited different deep learning models alongside classical approaches ...
Added: June 19, 2023
Сучков Е. П., Алексеенко Г. О., Налчаджи К. В., Интеллектуальные системы. Теория и приложения 2022 Т. 26 № 1 С. 250–254
Currently, video surveillance systems are becoming more
widespread. One of the main goals of such systems is to control and
track a person’s movement. The solution of this problem allows us
to solve such applied problems as tracking the occupancy of various
premises (whether shopping facilities or educational and cultural
institutions), creating a motion heatmap or organizing control of access
to ...
Added: January 31, 2023
Rukhovich D., Koroleva P., Rukhovich D. et al., Remote Sensing 2022 Vol. 14 No. 9 Article 2224
The detection of degraded soil distribution areas is an urgent task. It is difficult and very time consuming to solve this problem using ground methods. The modeling of degradation processes based on digital elevation models makes it possible to construct maps of potential degradation, which may differ from the actual spatial distribution of degradation. The ...
Added: November 14, 2022
Comment on “Pushing the frontiers of density functionals by solving the fractional electron problem”
Gerasimov I., Losev T., Evgeny Yu. Epifanov et al., Science 2022 Vol. 377 No. 6606 Article eabq3385
Kirkpatrick et al. (Reports, 9 December 2021, p. 1385) trained a neural network–based DFT functional, DM21, on fractional-charge (FC) and fractional-spin (FS) systems, and they claim that it has outstanding accuracy for chemical systems exhibiting strong correlation. Here, we show that the ability of DM21 to generalize the behavior of such systems does not follow ...
Added: September 25, 2022
K. Arzymatov, E. Khomutov, V. Shchur, Lobachevskii Journal of Mathematics 2022 Vol. 43 No. 8 P. 2092–2098
Genomic data is a rich source of information about population history. In particular, for actively recombining species the time to the last common ancestor (LCA) between two chromosomes might be different in different chromosome loci. Estimating local LCA time is important for many problems: it can be used to infer genes under selection, or to ...
Added: September 19, 2022
Diskin M., Bukhtiyarov A., Ryabinin M. et al., , in: Advances in Neural Information Processing Systems 34 (NeurIPS 2021).: Curran Associates, Inc., 2021. P. 7879–7897.
Added: November 24, 2021
Krinitskiy M., Alexandrova M., Verezemskaya P. et al., Remote Sensing 2021 Vol. 13 No. 2 Article 326
Total Cloud Cover (TCC) retrieval from ground-based optical imagery is a problem that has been tackled by several generations of researchers. The number of human-designed algorithms for the estimation of TCC grows every year. However, there has been no considerable progress in terms of quality, mostly due to the lack of systematic approach to the ...
Added: September 24, 2021
Malykh V., Porplenko D., Tutubalina E., , in: Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected PapersVol. 12602.: Springer, 2021. P. 149–161.
We present a novel dataset of sports broadcasts with 8,781 games. The dataset contains 700 thousand comments and 93 thousand related news documents in Russian. We run an extensive series of experiments of modern extractive and abstractive approaches. The results demonstrate that BERT-based models show modest performance, reaching up to 0.26 ROUGE-1F-measure. In addition, human evaluation ...
Added: May 10, 2021
Demochkina P., Savchenko A., , in: Proceedings of IEEE International Russian Automation Conference (RusAutoCon 2020).: IEEE, 2020. Ch. 110 P. 610–614.
In this paper, we address the problem of detecting small objects on high-quality X-ray imagesusing deep neural networks. We propose to implement the two-stage approach, in which, firstly, input image issplit into partially overlapping blocks to make small objects more discriminative for detection. Secondly, the small blocks are fed into conventional single-shot detectors. These detectors ...
Added: October 3, 2020
Savchenko A., IEEE Transactions on Neural Networks and Learning Systems 2020 Vol. 31 No. 2 P. 651–660
If the training data set in image recognition task is not very large, the feature extraction with a convolutional neural network is usually applied. Here, we focus on the nonparametric classification of extracted feature vectors using the probabilistic neural network (PNN). The latter is characterized by the high runtime and memory space complexity. We propose ...
Added: November 1, 2019
Kopeykina Lyudmila, Savchenko A., , in: 2019 International Russian Automation Conference (RusAutoCon).: IEEE, 2019. P. 1–6.
The authors consider the problem of automatic detection of private scanned documents based on text recognition with deep neural networks. The paper suggests implementing a two-phase approach with the first stage which includes efficient EAST text detection and recognition using Tesseract OCR Engine. Secondly, the authors classify the privacy of a scanned document by deep ...
Added: October 21, 2019
Sokolov A., Savchenko A., , in: 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI).: IEEE, 2019. Ch. 19 P. 113–116.
In this article, we focus on the isolated voice command recognition for autonomous man-machine and intelligent robotic systems. We propose to create a grammar model for a small testing command set with self-loops for each state to return blank symbols for noise and out-of-vocabulary words. In addition, we use single arc connected beginning and ending ...
Added: October 21, 2019
Krasovskaya S., Zhulikov G., MacInnes W., / Series WP BRP "PSYCHOLOGY". 2018. No. 93/PSY/2018.
Approximately twenty years ago, Laurent Itti and Christof Koch created a model of saliency in visual attention in an attempt to recreate the work of biological pyramidal neurons by mimicking neurons with centre-surround receptive fields. The Saliency Model has launched many studies that contributed to the understanding of layers of vision and the sphere of ...
Added: October 15, 2018
Kirichenko A. A., Национальный исследовательский университет "Высшая школа экономики", 2017.
В майноре «Сетевые технологии» изучаются 4 дисциплины: «Теория нейронных сетей», «Нейропакеты», «НейроЭВМ», «Применение нейросетевых технологий». Первая из этих дисциплин представляет новую научную дисциплину и даёт информацию об истории искуственных нейронных сетей, их теоретических основах, структуре, настройке, методах обучения и использования. Разработка этой дисциплины стала возможной благодаря достижениям в области нейрофизиологии, котрые дают начальное понимание механизма ...
Added: December 5, 2017
Gorbunov A. A., Isaev E., Samodurov V., Radio Physics and Radio Astronomy 2017 Т. 22 № 4 С. 270–275
In the process of astronomical observations are collected vast amounts of data. BSA (Big Scanning Antenna) LPI used in the study of impulse phenomena, daily logs 87.5 GB of data (32 TB per year). Experts classified 83096 individual observations (on the segment of the study July 2012 - October 2013). Over 75% of the sample ...
Added: October 15, 2017