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Aristófanes Silva

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Articles

Computer Science > Computer Vision and Pattern Recognition

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By Aristófanes Silva, T. M. Porcino, Aura Conci
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (636) Issue with article?

Soil Structure Analysis with Attention: A Deep Deep-Learning-Based Method for 3D Pore Segmentation and Characterization

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By Aristófanes Silva, Deane Roehl, Anselmo de, Alan de Carvalho
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared View Duplicates (158) Issue with article?

Building a DenseNet-Based Neural Network with Transformer and MBConv Blocks for Penile Cancer Classification

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By Geraldo Braz Junior, Aristófanes Silva, Amanda Mara Teles, Haissa Oliveira Brito
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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