Zobrazeno 1 - 10
of 654
pro vyhledávání: '"Martı́nez, José M."'
Merging parameters of multiple models has resurfaced as an effective strategy to enhance task performance and robustness, but prior work is limited by the high costs of ensemble creation and inference. In this paper, we leverage the abundance of free
Externí odkaz:
http://arxiv.org/abs/2409.15813
Autor:
Daikuhara, Kazuki, Kodama, Tadayuki, Pérez-Martínez, Jose M., Shimakawa, Rhythm, Suzuki, Tomoko L., Tadaki, Ken-ichi, Koyama, Yusei, Tanaka, Ichi
Low-mass galaxies at high redshifts are the building blocks of more massive galaxies at later times and are thus key populations for understanding galaxy formation and evolution. We have made deep narrow-band observations for two protoclusters and th
Externí odkaz:
http://arxiv.org/abs/2405.20663
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
Publikováno v:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)
Diffusion models represent a new paradigm in text-to-image generation. Beyond generating high-quality images from text prompts, models such as Stable Diffusion have been successfully extended to the joint generation of semantic segmentation pseudo-ma
Externí odkaz:
http://arxiv.org/abs/2403.14291
In semantic segmentation, training data down-sampling is commonly performed due to limited resources, the need to adapt image size to the model input, or improve data augmentation. This down-sampling typically employs different strategies for the ima
Externí odkaz:
http://arxiv.org/abs/2302.13961
Cross-camera image data association is essential for many multi-camera computer vision tasks, such as multi-camera pedestrian detection, multi-camera multi-target tracking, 3D pose estimation, etc. This association task is typically stated as a bipar
Externí odkaz:
http://arxiv.org/abs/2201.06311
Autor:
Parás-Bravo, Paula, Fernández-de-las-Peñas, César, Ferrer-Pargada, Diego, Druet-Toquero, Patricia, Fernández-Cacho, Luis M., Cifrián-Martínez, José M., Arendt-Nielsen, Lars, Herrero-Montes, Manuel
Publikováno v:
In The Journal of Pain September 2024 25(9)
Autor:
Mora-Cuesta, Víctor M., Martínez-Meñaca, Amaya, González-Fernández, Ángel, Iturbe-Fernández, David, Tello-Mena, Sandra, Izquierdo-Cuervo, Sheila, Fernández-Rozas, Sonia, Alonso-Lecue, Pilar, Cifrián-Martínez, José M
Publikováno v:
In Heart & Lung September-October 2024 67:92-99
Autor:
Mora-Cuesta, Víctor M., Martínez-Meñaca, Amaya, Iturbe-Fernández, David, Tello-Mena, Sandra, Izquierdo-Cuervo, Sheila, García-Camarero, Tamara, Gil-Ongay, Aritz, Sánchez-Moreno, Laura, Alonso-Lecue, Pilar, Naranjo-Gozalo, Sara, Cifrián-Martínez, José M.
Publikováno v:
In Heart, Lung and Circulation April 2024 33(4):524-532
Spectral residual methods are powerful tools for solving nonlinear systems of equations without derivatives. In a recent paper, it was shown that an acceleration technique based on the Sequential Secant Method can greatly improve its efficiency and r
Externí odkaz:
http://arxiv.org/abs/2104.13447
Multi-Target Multi-Camera (MTMC) vehicle tracking is an essential task of visual traffic monitoring, one of the main research fields of Intelligent Transportation Systems. Several offline approaches have been proposed to address this task; however, t
Externí odkaz:
http://arxiv.org/abs/2102.04091