… Capsule network To better understand the customisation proposed in this paper, we briefly
describe the Capsule Network. CapsNet architecture is characterised by the capsule structure…

… available images collected from several disasters, we compared capsule network models …
The results showed that the capsule network models had better performance for all the …

… to represent features, the capsule networks use vectors to … capsule network for hyperspectral
image (HSI) classification to … of the capsule network named Conv-Capsule is proposed. …

… in the capsule network to overcome these issues. The QV capsule module is proposed
and embedded in a real-valued convolutional backbone to construct the QV capsule network. …

… capsule network is divided into multiple computational units named capsules. Assume that
the capsule … Yuan, and SY Pu, “Hyperspectral image classification with capsule network using …

… adversarial network (GAN) setting, while modeling image data. We … convolutional-GAN at
modeling image data distribution on MNIST … metric and at semi-supervised image classification. …

… networks’ regularization technique attempts to minimize the difference between the
reconstruction and true image. We also observe that capsule network is robust to affine …

… Capsule Network is a novel and promising neural network in … good performance in image
classification by encoding … , the original Capsule Network is not suitable for the images with …

… In this article, a novel type of neural network model for image classification is provided. The
… A capsule network (CapsNet) is made of a network of capsules; a capsule is a small group of …