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of 2 293
pro vyhledávání: '"Rivera, Mariano"'
Recent Reference-Based image super-resolution (RefSR) has improved SOTA deep methods introducing attention mechanisms to enhance low-resolution images by transferring high-resolution textures from a reference high-resolution image. The main idea is t
Externí odkaz:
http://arxiv.org/abs/2310.01379
Autor:
Rivera, Mariano
Variational Autoencoders (VAEs) have become a cornerstone in generative modeling and representation learning within machine learning. This paper explores a nuanced aspect of VAEs, focusing on interpreting the Kullback-Leibler (KL) Divergence, a criti
Externí odkaz:
http://arxiv.org/abs/2309.13160
Autor:
Hoyos, Angello, Rivera, Mariano
We present a novel approach to enhance the capabilities of VQ-VAE models through the integration of a Residual Encoder and a Residual Pixel Attention layer, named Attentive Residual Encoder (AREN). The objective of our research is to improve the perf
Externí odkaz:
http://arxiv.org/abs/2309.11641
Autor:
Reejhsinghani, Anju
Publikováno v:
Dictionary of Caribbean and Afro–Latin American Biography, 1 ed., 2016.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780199935796.001.0001/acref-9780199935796-e-1781
Autor:
Hoyos, Angello, Rivera, Mariano
The Hadamard Layer, a simple and computationally efficient way to improve results in semantic segmentation tasks, is presented. This layer has no free parameters that require to be trained. Therefore it does not increase the number of model parameter
Externí odkaz:
http://arxiv.org/abs/2302.10318
Autor:
Adam Augustyn
Publikováno v:
Britannica Online
Externí odkaz:
http://academic.eb.com/levels/collegiate/article/623260
Autor:
Díaz Rivera, Mariano N., Amoruso, Lucía, Bocanegra, Yamile, Suárez, Jazmin X., Moreno, Leonardo, Muñoz, Edinson, Birba, Agustina, García, Adolfo M.
Publikováno v:
In Neurobiology of Aging April 2024 136:78-87