… However, the traditional CNNs adopted in the capsule layer of the capsule network have the
… capsule network with octave convolution (MSOctCaps) for hyperspectral image classification…

… classification accuracy. To address the aforementioned issues, we propose a cascade residual
capsule network (CRCN) for HSI classification… Finally, a capsule structure is developed to …

… influences the network performance. Moreover, we indicate that the use of Capsule
Network and CNN may be highly dependent on the particular data set in image classification. …

… efforts to improve OCT image classification accuracy. … For classification of images of 512 ×
512, we propose a network model with four added convolutional layers to the capsule network. …

… In this paper, we propose a hierarchical capsule network for HSI classification. This network
… capsules, followed by vector computation using capsule neurons and a weight matrix to …

… The Capsule Network is widely believed to be more robust than Convolutional Networks. …
that of a ConvNet commonly used for image classification. The examination reveals five major …

… based spectral–spatial capsule network exhibiting good classification accuracy. But the …
The authors in [53] developed a deep capsule network DeepCaps utilizing 3D convolutional …

… networks while incorporating the hierarchical relations between image features. To this end…
classification and capsule networks. In Section 3 we present our hierarchical capsule network…

… (3) The capsule network tries to encode all the information from the cluttered or … capsule
network-based architecture for efficiently dealing with complex images for image classification…

… Capsule network (CapsNet) can effectively address tissue overlap and other problems. This
… network model based on capsule network, which is named as ResCaps network. ResCaps …