Capsule networks for image classification: A review
Over the past few years, the computer vision domain has evolved and made a revolutionary
transition from human-engineered features to automated features to address challenging …
transition from human-engineered features to automated features to address challenging …
Capsule networks for computer vision applications: a comprehensive review
Convolutional neural networks (CNNs) have achieved human-level performance in various
computer vision tasks, such as image classification, object detection & segmentation, etc …
computer vision tasks, such as image classification, object detection & segmentation, etc …
Survey on the application of deep learning in extreme weather prediction
Because of the uncertainty of weather and the complexity of atmospheric movement,
extreme weather has always been an important and difficult meteorological problem …
extreme weather has always been an important and difficult meteorological problem …
Gabor capsule network with preprocessing blocks for the recognition of complex images
Capsule network (CapsNet) is a novel concept demonstrating the importance of learning
spatial hierarchical relationship between features for the effective recognition of images …
spatial hierarchical relationship between features for the effective recognition of images …
[HTML][HTML] PolSAR image land cover classification based on hierarchical capsule network
Polarimetric synthetic aperture radar (PolSAR) image classification is one of the basic
methods of PolSAR image interpretation. Deep learning algorithms, especially convolutional …
methods of PolSAR image interpretation. Deep learning algorithms, especially convolutional …
Image classification based on quaternion-valued capsule network
H Zhou, C Zhang, X Zhang, Q Ma - Applied Intelligence, 2023 - Springer
In this paper, a novel quaternion-valued (QV) capsule module is designed to construct QV
capsule networks for image classification. The quaternion algebra is introduced into the …
capsule networks for image classification. The quaternion algebra is introduced into the …
Breast cancer classification based on histopathological images using a deep learning capsule network
Breast cancer is one of the most serious types of cancer that can occur in women. The
automatic diagnosis of breast cancer by analyzing histological images (HIs) is important for …
automatic diagnosis of breast cancer by analyzing histological images (HIs) is important for …
Memristive residual capsnet: A hardware friendly multi-level capsule network
Capsule network is a promising network architecture in computer vision that integrates
feature information and feature relationships of images. However, the original capsule …
feature information and feature relationships of images. However, the original capsule …
Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT …
Background The coronavirus disease 2019 (COVID-19) and community-acquired
pneumonia (CAP) present a high degree of similarity in chest computed tomography (CT) …
pneumonia (CAP) present a high degree of similarity in chest computed tomography (CT) …
A deep learning model based on capsule networks for covid diagnostics through x-ray images
X-ray diagnostics are widely used to detect various diseases, such as bone fracture,
pneumonia, or intracranial hemorrhage. This method is simple and accessible in most …
pneumonia, or intracranial hemorrhage. This method is simple and accessible in most …