… a novel architecture for object classification, called Self-Attention Capsule Networks (SACN)…
mechanism as an integral layer within the Capsule Network (CapsNet). While the Self-…

… overview of capsule network-based classification architectures, … community to adopt capsule
networks at the forefront of … take account of spatial relationships to classify an object, so …

… of a standard 3D CNN-based and a Capsule Network-based classifier, help the training to
… of capsules to 3D object classification pipeline improves the classification performance with …

… [39], where they introduced the concept of capsule networks (… probability that the object is
present and the object’s pose … reducing the complexity of the network. Specifically, the HSI …

… In this paper, we have proposed 3D Capsule Network solutions to perform object
classification from 3D data, which is present in the form of 3D binary occupancy grids. We have …

… of objects leading to the introduction of Capsule Networks. … in existing implementations of
capsule networks. We highlight … of the art Capsule Network architectures and implementations. …

… explicitly retain the relative position of objects in an image and, … object detection problems.
To address this problem, in this paper we introduce Capsule Networks (CapsNets) for object …

… 3D capsule networks arise as a direct consequence of our uni… capsule networks bring in
improvements for several common point cloud-related tasks, such as object classification, object …

… We provide a detailed explanation of how capsule networks relate to the attention … object-centric
representation learning. We also review the extensive applications of capsule networks …

… the capsule network is much larger than that of the CNN network. By comparing the two
network, we find that the parameters of the capsule network … capsule layers. Since the unit of the …