Zobrazeno 1 - 10
of 86 597
pro vyhledávání: '"A, Salinas"'
Pedestrian detection is a critical task in autonomous driving, aimed at enhancing safety and reducing risks on the road. Over recent years, significant advancements have been made in improving detection performance. However, these achievements still
Externí odkaz:
http://arxiv.org/abs/2412.06549
This study examines the shift in the scientific community from X (formerly Twitter) to Bluesky, its impact on scientific communication, and consequently on social metrics (altmetrics). Analyzing 10,174 publications from multidisciplinary and library
Externí odkaz:
http://arxiv.org/abs/2412.05624
Autor:
Dang, John, Singh, Shivalika, D'souza, Daniel, Ahmadian, Arash, Salamanca, Alejandro, Smith, Madeline, Peppin, Aidan, Hong, Sungjin, Govindassamy, Manoj, Zhao, Terrence, Kublik, Sandra, Amer, Meor, Aryabumi, Viraat, Campos, Jon Ander, Tan, Yi-Chern, Kocmi, Tom, Strub, Florian, Grinsztajn, Nathan, Flet-Berliac, Yannis, Locatelli, Acyr, Lin, Hangyu, Talupuru, Dwarak, Venkitesh, Bharat, Cairuz, David, Yang, Bowen, Chung, Tim, Ko, Wei-Yin, Shi, Sylvie Shang, Shukayev, Amir, Bae, Sammie, Piktus, Aleksandra, Castagné, Roman, Cruz-Salinas, Felipe, Kim, Eddie, Crawhall-Stein, Lucas, Morisot, Adrien, Roy, Sudip, Blunsom, Phil, Zhang, Ivan, Gomez, Aidan, Frosst, Nick, Fadaee, Marzieh, Ermis, Beyza, Üstün, Ahmet, Hooker, Sara
We introduce the Aya Expanse model family, a new generation of 8B and 32B parameter multilingual language models, aiming to address the critical challenge of developing highly performant multilingual models that match or surpass the capabilities of m
Externí odkaz:
http://arxiv.org/abs/2412.04261
Autor:
Motte, F., Pouteau, Y., Nony, T., Dell'Ova, P., Gusdorf, A., Brouillet, N., Stutz, A. M., Bontemps, S., Ginsburg, A., Csengeri, T., Men'shchikov, A., Valeille-Manet, M., Louvet, F., Bonfand, M., Galván-Madrid, R., Álvarez-Gutiérrez, R. H., Armante, M., Bronfman, L., Chen, H. -R. V., Cunningham, N., Díaz-González, D., Didelon, P., Fernández-López, M., Herpin, F., Kessler, N., Koley, A., Lefloch, B., Nestour, N. Le, Liu, H. -L., Moraux, E., Luong, Q. Nguyen, Olguin, F., Salinas, J., Sandoval-Garrido, N. A., Sanhueza, P., Veyry, R., Yoo, T.
ALMA-IMF imaged 15 massive protoclusters down to a resolution of of 2 kau scales, identifying about 1000 star-forming cores. The mass and luminosity of these cores, which are fundamental physical characteristics, are difficult to determine, a problem
Externí odkaz:
http://arxiv.org/abs/2412.02011
The conventional paradigm of quantum computing is discrete: it utilizes discrete sets of gates to realize bitstring-to-bitstring mappings, some of them arguably intractable for classical computers. In parameterized quantum approaches, widely used in
Externí odkaz:
http://arxiv.org/abs/2411.19152
Quantum machine learning (QML) has surged as a prominent area of research with the objective to go beyond the capabilities of classical machine learning models. A critical aspect of any learning task is the process of data embedding, which directly i
Externí odkaz:
http://arxiv.org/abs/2411.19281
In this paper, we revisited the extension of the classical non-standard cosmological model in which dissipative processes are considered through a bulk viscous term in the new field $\phi$, which interacts with the radiation component during the earl
Externí odkaz:
http://arxiv.org/abs/2411.05590
Autor:
Berral-Soler, Rafael, Muñoz-Salinas, Rafael, Medina-Carnicer, Rafael, Marín-Jiménez, Manuel J.
Publikováno v:
Image and Vision Computing. Elsevier BV, p. 105313, Oct. 2024
Fiducial markers are a computer vision tool used for object pose estimation and detection. These markers are highly useful in fields such as industry, medicine and logistics. However, optimal lighting conditions are not always available,and other fac
Externí odkaz:
http://arxiv.org/abs/2411.05552
Autor:
Fourney, Adam, Bansal, Gagan, Mozannar, Hussein, Tan, Cheng, Salinas, Eduardo, Erkang, Zhu, Niedtner, Friederike, Proebsting, Grace, Bassman, Griffin, Gerrits, Jack, Alber, Jacob, Chang, Peter, Loynd, Ricky, West, Robert, Dibia, Victor, Awadallah, Ahmed, Kamar, Ece, Hosn, Rafah, Amershi, Saleema
Modern AI agents, driven by advances in large foundation models, promise to enhance our productivity and transform our lives by augmenting our knowledge and capabilities. To achieve this vision, AI agents must effectively plan, perform multi-step rea
Externí odkaz:
http://arxiv.org/abs/2411.04468
Autor:
Castro, Daniel C., Bustos, Aurelia, Bannur, Shruthi, Hyland, Stephanie L., Bouzid, Kenza, Wetscherek, Maria Teodora, Sánchez-Valverde, Maria Dolores, Jaques-Pérez, Lara, Pérez-Rodríguez, Lourdes, Takeda, Kenji, Salinas, José María, Alvarez-Valle, Javier, Herrero, Joaquín Galant, Pertusa, Antonio
Radiology report generation (RRG) aims to create free-text radiology reports from clinical imaging. Grounded radiology report generation (GRRG) extends RRG by including the localisation of individual findings on the image. Currently, there are no man
Externí odkaz:
http://arxiv.org/abs/2411.05085