A more stationary and discriminative embedding is necessary for robust classification of
images. We focus our attention on the newel CapsNet model and we propose the angular …

Capsule networks (CapsNets) offer distinct advantages over conventional convolutional
neural networks (CNNs) by introducing the concept of a capsule. Specifically, this innovation …

A capsule network (CapsNet) is a deep learning model for image classification that provides
robustness to changes in the poses of objects in the images. A capsule is a vector whose …

Capsule Network is a novel deep learning classifier that might replace Convolutional Neural
Networks in the future. The power of Capsule Network lies in maintaining the spatial …

Capsule network (CapsNet) is a novel neural network architecture that overcame the
drawback of loss of poses and position caused in convolutional neural networks and …

Capsule Network presents a new generation of neural networks in the deep learning field. It
shows its potential in image classification by grou** features into capsules and using parts …

Capsule network (CapsNet) is a pioneering architecture that can encode the image
properties into vectors rather than scalars, addressing the limitations of traditional …

Capsule Network (CapsNet) was introduced in 2017 as the new generation of the image
classifiers to perform supervised classification of images. It incorporates a new structure of …

Περίληψη Τελευταία, στον κλάδο της Τεχνητής Νοη οσύνης, παρατηρείται ραγδαία αύξηση
του εγέθους των Βαθιών Νευρωνικών ικτύων. Με τα νέα συστή ατα να έχουν κολοσσιαίο …