no code implementations • 22 Mar 2022 • Simone Azeglio, Simone Poetto, Luca Savant Aira, Marco Nurisso
Computational models of vision have traditionally been developed in a bottom-up fashion, by hierarchically composing a series of straightforward operations - i. e. convolution and pooling - with the aim of emulating simple and complex cells in the visual cortex, resulting in the introduction of deep convolutional neural networks (CNNs).
no code implementations • 9 Oct 2021 • Simone Azeglio, Arianna Di Bernardo, Gabriele Penna, Fabrizio Pittatore, Simone Poetto, Johannes Gruenwald, Christoph Kapeller, Kyousuke Kamada, Christoph Guger
With our method, we observed robust results in terms of ac-curacy for a four-labels classification problem, with limited available data.
1 code implementation • 1 Sep 2021 • Arianna Di Bernardo, Simone Poetto, Pietro Sillano, Beatrice Villata, Weronika Sójka, Zofia Piętka-Danilewicz, Piotr Pranke
In the Middle Ages texts were learned by heart and spread using oral means of communication from generation to generation.