Zobrazeno 1 - 10
of 12 925
pro vyhledávání: '"A Tiam"'
Publikováno v:
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, pp. 2890-2899
The progress in the generation of synthetic images has made it crucial to assess their quality. While several metrics have been proposed to assess the rendering of images, it is crucial for Text-to-Image (T2I) models, which generate images based on a
Externí odkaz:
http://arxiv.org/abs/2307.05134
Autor:
Fragkos, Panagiotis1 (AUTHOR) fragkos@e3modelling.com, Longa, Francesco Dalla2 (AUTHOR) francesco.dallalonga@tno.nl, Zisarou, Eleftheria1 (AUTHOR) giannousakis@e3modelling.com, Zwaan, Bob van der2,3,4 (AUTHOR) bob.vanderzwaan@tno.nl, Giannousakis, Anastasis1 (AUTHOR), Fattahi, Amir2 (AUTHOR) amir.fattahi@tno.nl
Publikováno v:
Energies (19961073). Sep2023, Vol. 16 Issue 18, p6421. 22p.
Autor:
Gacem, Habiba, Rizi, Hadia, Khafallah, Imen, Amira, Khedidja, Chaouch, Rabah, Houhamdi, Ines, Baaloudj, Affef, Houhamdi, Moussa
Publikováno v:
Fresenius Environmental Bulletin; 2024, Vol. 33 Issue 4, p353-361, 9p
Publikováno v:
Journal of Industrial Ecology. Jun2019, Vol. 23 Issue 3, p587-600. 14p. 1 Diagram, 6 Graphs.
Autor:
Panagiotis Fragkos, Francesco Dalla Longa, Eleftheria Zisarou, Bob van der Zwaan, Anastasis Giannousakis, Amir Fattahi
Publikováno v:
Energies, Vol 16, Iss 18, p 6421 (2023)
This study provides a quantitative analysis of future energy–climate developments at the global level using two well-established integrated assessment models (IAMs), PROMETHEUS and TIAM-ECN. The research aims to explore the results of these IAMs an
Externí odkaz:
https://doaj.org/article/27f6400ba13846f98c0df4f1121badf6
Autor:
Kang, Seungwoo
Face à une préoccupation environnementale croissante, les pays du monde accentuent leurs efforts pour réduire leur dépendance aux ressources fossiles, sources majeures d’émissions de gaz à effet de serre, en les remplaçant par des énergies
Externí odkaz:
http://www.theses.fr/2017PSLEM081/document
Conference
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Kniha
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Publikováno v:
Science, 1997 Nov . 278(5342), 1464-1466.
Externí odkaz:
https://www.jstor.org/stable/2894764
Autor:
Yang, Lin, Xu, Shawn, Sellergren, Andrew, Kohlberger, Timo, Zhou, Yuchen, Ktena, Ira, Kiraly, Atilla, Ahmed, Faruk, Hormozdiari, Farhad, Jaroensri, Tiam, Wang, Eric, Wulczyn, Ellery, Jamil, Fayaz, Guidroz, Theo, Lau, Chuck, Qiao, Siyuan, Liu, Yun, Goel, Akshay, Park, Kendall, Agharwal, Arnav, George, Nick, Wang, Yang, Tanno, Ryutaro, Barrett, David G. T., Weng, Wei-Hung, Mahdavi, S. Sara, Saab, Khaled, Tu, Tao, Kalidindi, Sreenivasa Raju, Etemadi, Mozziyar, Cuadros, Jorge, Sorensen, Gregory, Matias, Yossi, Chou, Katherine, Corrado, Greg, Barral, Joelle, Shetty, Shravya, Fleet, David, Eslami, S. M. Ali, Tse, Daniel, Prabhakara, Shruthi, McLean, Cory, Steiner, Dave, Pilgrim, Rory, Kelly, Christopher, Azizi, Shekoofeh, Golden, Daniel
Many clinical tasks require an understanding of specialized data, such as medical images and genomics, which is not typically found in general-purpose large multimodal models. Building upon Gemini's multimodal models, we develop several models within
Externí odkaz:
http://arxiv.org/abs/2405.03162