Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Uzhinskiy, Alexander"'
Autor:
Uzhinskiy, Alexander, Ososkov, Gennady, Goncharov, Pavel, Nechaevskiy, Andrey, Smetanin, Artem
Triplet loss function is one of the options that can significantly improve the accuracy of the One-shot Learning tasks. Starting from 2015, many projects use Siamese networks and this kind of loss for face recognition and object classification. In ou
Externí odkaz:
http://arxiv.org/abs/2012.07403
Autor:
Korenkov, Vladimir, Nechaevskiy, Andrey, Ososkov, Gennadiy, Potrebenikov, Yuri, Pryahina, Darya, Trofimov, Vladimir, Uzhinskiy, Alexander
Publikováno v:
In Procedia Computer Science 2016 101:333-340
Autor:
Uzhinskiy, Alexander
Publikováno v:
AppliedMath; Dec2023, Vol. 3 Issue 4, p799-813, 15p
Autor:
Korenkov, Vladimir, Nechaevskiy, Andrey, Ososkov, Gennadiy, Pryahina, Darya, Trofimov, Vladimir, Uzhinskiy, Alexander, Balashov, Nikita
Publikováno v:
In Procedia Computer Science 2015 66:533-539
Publikováno v:
EPJ Web of Conferences, Vol 226, p 03010 (2020)
Crop losses are a major threat to the wellbeing of rural families, to the economy and governments, and to food security worldwide. The goal of our research is to develop a multi-functional platform to help the farming community to tilt against plant
Externí odkaz:
https://doaj.org/article/b6294d2f84f44e87a2c3fccec4e2a2f5
Autor:
Smetanin, Artem, Uzhinskiy, Alexander, Ososkov, Gennady, Goncharov, Pavel, Nechaevskiy, Andrey
Publikováno v:
AIP Conference Proceedings; 2021, Vol. 2377 Issue 1, p1-5, 5p
Autor:
Adam, Gh., Buša, J., Hnatič, M., Goncharov, Pavel, Uzhinskiy, Alexander, Ososkov, Gennady, Nechaevskiy, Andrey, Zudikhina, Julia
Publikováno v:
EPJ Web of Conferences; 1/10/2020, Vol. 226, p1-4, 4p