Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Anton, Milan"'
Autor:
Sebuyoya, Ravery, Moranova, Ludmila, Izadi, Nasim, Moran, Lukas, Hrstka, Roman, Anton, Milan, Bartosik, Martin
Publikováno v:
In Biosensors and Bioelectronics: X December 2022 12
Publikováno v:
Journal of Medical Virology; Oct2024, Vol. 96 Issue 10, p1-10, 10p
Autor:
Izadi, Nasim, Sebuyoya, Ravery, Moranova, Ludmila, Hrstka, Roman, Anton, Milan, Bartosik, Martin
Publikováno v:
In Analytica Chimica Acta 1 December 2021 1187
Autor:
Sommerova, Lucia, Anton, Milan, Bouchalova, Pavla, Jasickova, Hedvika, Rak, Vladimir, Jandakova, Eva, Selingerova, Iveta, Bartosik, Martin, Vojtesek, Borivoj, Hrstka, Roman
Publikováno v:
In Antiviral Research March 2019 163:185-192
Publikováno v:
In Analytica Chimica Acta 26 December 2018 1042:37-43
Autor:
Bartosik, Martin, Durikova, Helena, Vojtesek, Borivoj, Anton, Milan, Jandakova, Eva, Hrstka, Roman
Publikováno v:
In Biosensors and Bioelectronics 15 September 2016 83:300-305
Autor:
Daniel Cremers, Ian Reid, Qinfeng Shi, Tianyu Zhu, Laura Leal-Taixé, Roman Kaskman, Anton Milan, Farbod Motlagh, Hamid Rezatofighi
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(12)
This paper addresses the task of set prediction using deep feed-forward neural networks. A set is a collection of elements which is invariant under permutation and the size of a set is not fixed in advance. Many real-world problems, such as image tag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfea96589f6ee9c3d2d65ec055566a6e
https://pubmed.ncbi.nlm.nih.gov/34705634
https://pubmed.ncbi.nlm.nih.gov/34705634
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Aljosa Osep, Ian Reid, Daniel Cremers, Konrad Schindler, Stefan Roth, Patrick Dendorfer, Laura Leal-Taixé, Anton Milan
Publikováno v:
International Journal of Computer Vision, 129 (4)
Standardized benchmarks have been crucial in pushing the performance of computer vision algorithms, especially since the advent of deep learning. Although leaderboards should not be over-claimed, they often provide the most objective measure of perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fec6a1812356f95074493b7b31a627ce
http://arxiv.org/abs/2010.07548
http://arxiv.org/abs/2010.07548
