Efficient-CapsNet: capsule network with self-attention routing

Abstract Deep convolutional neural networks, assisted by architectural design strategies, make extensive use of data augmentation techniques and layers with a high number of feature maps to embed object transformations. That is highly inefficient and for large datasets implies a massive redundancy o...

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Autores principales: Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/8c49880da55c4f129745f80880ff3925
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