… images, it is of great significance for the classification research in the case of small samples.
However, the capsule network for HSI classification using … To improve the classification …

… deeper, we will further consider a deeper capsule network with more layers to explore the
potential of capsule architecture in HSI classification. In addition, a local connection instead of …

… capsule network and proposed Caps-TripleGAN to solve the problem of hyperspectral image
classification in … consists of a capsule network and a generative adversarial network (GAN). …

… We compare our model with DR-CapsNet, EM-CapsNet, and SR-CapsNet for image
classification accuracy on several public datasets, such as SVHN, CIFAR-10, and CIFAR-100 …

… network (CNN) is the mainstream method of image processing widely used in many domains,
but it has poor anti-noise capacity in image classification … The recent capsule network not …

… In order to further improve the accuracy of clothing image classification, we propose an
enhanced feature capsule (EnCaps) network. The traditional convolutional neural network can …

… SS fusion capsule generative adversarial network (DcCapsGAN) for HSI classification. Dual
… 2-D-CapsGAN) are constructed by integrating the capsule network (CapsNet) with GAN for …

… A summary of the deployed dataset and the image … the capsule network and our proposed
architecture. Our goal is to achieve state-of-the-art accuracy using a modified capsule network …

… map, this paper proposes a hyperspectral image classification method based on the
combination of a deep residual 3D capsule network and a Markov random field (Deep3DCapsNet-…

… of images that is robust to the changes in the pose and spatial relationship of objects in the
images, the capsule network is … into the deep learning method for image classification task. …