Zobrazeno 1 - 10
of 5 473
pro vyhledávání: '"A. A. Gritsenko"'
Autor:
Steiner, Andreas, Pinto, André Susano, Tschannen, Michael, Keysers, Daniel, Wang, Xiao, Bitton, Yonatan, Gritsenko, Alexey, Minderer, Matthias, Sherbondy, Anthony, Long, Shangbang, Qin, Siyang, Ingle, Reeve, Bugliarello, Emanuele, Kazemzadeh, Sahar, Mesnard, Thomas, Alabdulmohsin, Ibrahim, Beyer, Lucas, Zhai, Xiaohua
PaliGemma 2 is an upgrade of the PaliGemma open Vision-Language Model (VLM) based on the Gemma 2 family of language models. We combine the SigLIP-So400m vision encoder that was also used by PaliGemma with the whole range of Gemma 2 models, from the 2
Externí odkaz:
http://arxiv.org/abs/2412.03555
Autor:
Beyer, Lucas, Steiner, Andreas, Pinto, André Susano, Kolesnikov, Alexander, Wang, Xiao, Salz, Daniel, Neumann, Maxim, Alabdulmohsin, Ibrahim, Tschannen, Michael, Bugliarello, Emanuele, Unterthiner, Thomas, Keysers, Daniel, Koppula, Skanda, Liu, Fangyu, Grycner, Adam, Gritsenko, Alexey, Houlsby, Neil, Kumar, Manoj, Rong, Keran, Eisenschlos, Julian, Kabra, Rishabh, Bauer, Matthias, Bošnjak, Matko, Chen, Xi, Minderer, Matthias, Voigtlaender, Paul, Bica, Ioana, Balazevic, Ivana, Puigcerver, Joan, Papalampidi, Pinelopi, Henaff, Olivier, Xiong, Xi, Soricut, Radu, Harmsen, Jeremiah, Zhai, Xiaohua
PaliGemma is an open Vision-Language Model (VLM) that is based on the SigLIP-So400m vision encoder and the Gemma-2B language model. It is trained to be a versatile and broadly knowledgeable base model that is effective to transfer. It achieves strong
Externí odkaz:
http://arxiv.org/abs/2407.07726
As foundation models become more popular, there is a growing need to efficiently finetune them for downstream tasks. Although numerous adaptation methods have been proposed, they are designed to be efficient only in terms of how many parameters are t
Externí odkaz:
http://arxiv.org/abs/2402.02887
Autor:
Vsevolod Konstantinov, Aigerim Mynbayeva, Valentina Gritsenko, Svetlana Stelmakh, Alexander Reznik, Shai-li Romem Porat, Richard Isralowitz
Publikováno v:
Discover Global Society, Vol 2, Iss 1, Pp 1-10 (2024)
Abstract Background During COVID-19, interest in video games increased and it continues to escalate. Excessive video gaming, common throughout the world, attracts concern among mental health professionals. Most internet gamers are youth and young adu
Externí odkaz:
https://doaj.org/article/5b0b3c36e78c4ea39f8e77c3cf5d3aaf
Publikováno v:
Журнал Фронтирных Исследований, Vol 9, Iss 4, Pp 126-145 (2024)
Macrosocial identity in the regional communities of the North Caucasus is characterized by contradictions and complexity of formation processes, which is largely due to the frontier nature of the region. Recently, in the context of a sharp aggravatio
Externí odkaz:
https://doaj.org/article/f9bd3d79bf7f4f2497a5a0fc03889570
Autor:
Ruslan Moisseyev, Alexandr Pozharskiy, Aisha Taskuzhina, Marina Khusnitdinova, Ualikhan Svanbayev, Zagipa Sapakhova, Dilyara Gritsenko
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 10, Pp 11326-11335 (2024)
Sugar beet hybrids are essential in modern agriculture due to their superior yields, disease resistance, and adaptability. This study investigates the role of the Rz2 gene in conferring resistance to beet necrotic yellow vein virus (BNYVV) in 14 suga
Externí odkaz:
https://doaj.org/article/3a9e4a7bfb7849deb2892a504b0f444c
Publikováno v:
Вестник Дагестанского государственного технического университета: Технические науки, Vol 51, Iss 3, Pp 42-53 (2024)
Objective. Currently, the task of ensuring the security of Russia's national information resources is being updated as an important area of state policy in the information sphere. The purpose of the article is to describe a methodology for determinin
Externí odkaz:
https://doaj.org/article/b26e00f8dcdb46b8a49931a8575d2b28
Publikováno v:
Russian Journal of Linguistics, Vol 28, Iss 3, Pp 615-632 (2024)
Numerous research studies addressing the differences in the use of lexical bundles in academic English by L1 and L2 writers interpret these differences as a deficiency or deviation that L2 writers need to eliminate. In this paper, we argue that this
Externí odkaz:
https://doaj.org/article/349c4c1e13cc4ccda77d0297fe09ddc7
Publikováno v:
Journal of Education, Health and Sport, Vol 6, Iss 7, Pp 67-74 (2016)
Nagornaya V. F., Moskalenko T. Ya., Gritsenko A. A. Descriptiveness of vaginal secretions pH in the vaginal microbiota assessment in pregnant women. Journal of Education, Health and Sport. 2016;6(7):67-74. eISSN 2391-8306. DOI http://dx.doi.org/10.52
Externí odkaz:
https://doaj.org/article/5737675b1bf340ef9b1b917c5896e6c2
Autor:
Heigold, Georg, Minderer, Matthias, Gritsenko, Alexey, Bewley, Alex, Keysers, Daniel, Lučić, Mario, Yu, Fisher, Kipf, Thomas
We present an architecture and a training recipe that adapts pre-trained open-world image models to localization in videos. Understanding the open visual world (without being constrained by fixed label spaces) is crucial for many real-world vision ta
Externí odkaz:
http://arxiv.org/abs/2308.11093