Image Super-Resolution Using Capsule Neural Networks

Convolutional neural networks (CNNs) have been widely applied in super-resolution (SR) and other image restoration tasks. Recently, Hinton et al. proposed capsule neural networks to resolve the problem of viewpoint variations in image classification tasks. Each capsule is represented as either a vec...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.9751-9759
Hauptverfasser:	Hsu, Jui-Ting, Kuo, Chih-Hung, Chen, De-Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Biological neural networks capsule neural network convolutional neural network deep learning Feature extraction Image classification Image reconstruction Image resolution Image restoration Image segmentation Mathematical analysis Matrix algebra Matrix methods Neural networks Parameters Routing Super resolution
Online-Zugang:	Volltext
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