Cargando…
DA-CapsNet: dual attention mechanism capsule network
A capsule network (CapsNet) is a recently proposed neural network model with a new structure. The purpose of CapsNet is to form activation capsules. In this paper, our team proposes a dual attention mechanism capsule network (DA-CapsNet). In DA-CapsNet, the first layer of the attention mechanism is...
Autores principales: | Huang, Wenkai, Zhou, Fobao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347947/ https://www.ncbi.nlm.nih.gov/pubmed/32647347 http://dx.doi.org/10.1038/s41598-020-68453-w |
Ejemplares similares
-
Efficient-CapsNet: capsule network with self-attention routing
por: Mazzia, Vittorio, et al.
Publicado: (2021) -
CapsNet-SSP: multilane capsule network for predicting human saliva-secretory proteins
por: Du, Wei, et al.
Publicado: (2020) -
RAt-CapsNet: A Deep Learning Network Utilizing Attention and Regional Information for Abnormality Detection in Wireless Capsule Endoscopy
Publicado: (2022) -
Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans
por: Sharma, Pulkit, et al.
Publicado: (2023) -
CapsNet-MHC predicts peptide-MHC class I binding based on capsule neural networks
por: Kalemati, Mahmood, et al.
Publicado: (2023)