Zobrazeno 1 - 10
of 2 301
pro vyhledávání: '"Charette, P."'
Large-scale vision-language pre-trained (VLP) models (e.g., CLIP) are renowned for their versatility, as they can be applied to diverse applications in a zero-shot setup. However, when these models are used in specific domains, their performance ofte
Externí odkaz:
http://arxiv.org/abs/2410.08211
We consider the problem of adapting a contrastively pretrained vision-language model like CLIP (Radford et al., 2021) for few-shot classification. The existing literature addresses this problem by learning a linear classifier of the frozen visual fea
Externí odkaz:
http://arxiv.org/abs/2410.05270
Autor:
Ghafourian, Amin, CuiZhu, Zhongying, Shi, Debo, Chuang, Ian, Charette, Francois, Sachdeva, Rithik, Soltani, Iman
Publikováno v:
in IEEE Robotics and Automation Letters, vol. 9, no. 4, pp. 3211-3218, April 2024
Human navigation is facilitated through the association of actions with landmarks, tapping into our ability to recognize salient features in our environment. Consequently, navigational instructions for humans can be extremely concise, such as short v
Externí odkaz:
http://arxiv.org/abs/2409.14633
We address prevailing challenges of the brain-powered research, departing from the observation that the literature hardly recover accurate spatial information and require subject-specific models. To address these challenges, we propose UMBRAE, a unif
Externí odkaz:
http://arxiv.org/abs/2404.07202
We propose the task of Panoptic Scene Completion (PSC) which extends the recently popular Semantic Scene Completion (SSC) task with instance-level information to produce a richer understanding of the 3D scene. Our PSC proposal utilizes a hybrid mask-
Externí odkaz:
http://arxiv.org/abs/2312.02158
Generalization to new domains not seen during training is one of the long-standing challenges in deploying neural networks in real-world applications. Existing generalization techniques either necessitate external images for augmentation, and/or aim
Externí odkaz:
http://arxiv.org/abs/2311.17922
In this work we present DREAM, an fMRI-to-image method for reconstructing viewed images from brain activities, grounded on fundamental knowledge of the human visual system. We craft reverse pathways that emulate the hierarchical and parallel nature o
Externí odkaz:
http://arxiv.org/abs/2310.02265
Autor:
M. N. Erlich, D. Ghidanac, S. Blanco Mejia, T. A. Khan, L. Chiavaroli, A. Zurbau, S. Ayoub-Charette, A. Almneni, M. Messina, L. A. Leiter, R. P. Bazinet, D. J. A. Jenkins, C. W. C. Kendall, J. L. Sievenpiper
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-16 (2024)
Abstract Background Dietary guidelines recommend a shift to plant-based diets. Fortified soymilk, a prototypical plant protein food used in the transition to plant-based diets, usually contains added sugars to match the sweetness of cow’s milk and
Externí odkaz:
https://doaj.org/article/d3e80a8bfd3242e381fcb0bb77b79b91
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-25 (2024)
Abstract Background In Canada, primary care reforms led to the implementation of various team-based care models to improve access and provide more comprehensive care for patients. Despite these advances, ongoing challenges remain. The aim of this sco
Externí odkaz:
https://doaj.org/article/31d246b962a441d490bd07870b0b3586
Autor:
Pascal Bernier, Leandra Desjardins, Marie-Claude Charette, Marie-Paule Latour, Marie-Pierre Bastien
Publikováno v:
Canadian Oncology Nursing Journal, Vol 34, Iss 3, Pp 267-273 (2024)
Introduction : La maladie hématologique-oncologique pédiatrique implique de nombreux défis adaptatifs. Conséquemment, des problèmes de santé mentale font parfois surface durant ou après les traitements, et ce, tant chez les jeunes que chez leu
Externí odkaz:
https://doaj.org/article/721de7de047d4716a4cc34fc2b46a298