[HTML][HTML] Capsule networks–a survey
Modern day computer vision tasks requires efficient solution to problems such as image
recognition, natural language processing, object detection, object segmentation and …
recognition, natural language processing, object detection, object segmentation and …
3D point capsule networks
In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process
sparse 3D point clouds while preserving spatial arrangements of the input data. 3D capsule …
sparse 3D point clouds while preserving spatial arrangements of the input data. 3D capsule …
Capsule networks–A survey
M Kwabena Patrick, A Felix Adekoya, A Abra Mighty… - 2022 - dl.acm.org
Modern day computer vision tasks requires efficient solution to problems such as image
recognition, natural language processing, object detection, object segmentation and …
recognition, natural language processing, object detection, object segmentation and …
Action Capsules: Human skeleton action recognition
Due to the compact and rich high-level representations offered, skeleton-based human
action recognition has recently gained more attraction. Although joint relationships …
action recognition has recently gained more attraction. Although joint relationships …
Capsule neural networks for graph classification using explicit tensorial graph representations
Graph classification is a significant problem in many scientific domains. It addresses tasks
such as the classification of proteins and chemical compounds into categories according to …
such as the classification of proteins and chemical compounds into categories according to …
3dpointcaps++: Learning 3d representations with capsule networks
We present 3DPointCaps++ for learning robust, flexible and generalizable 3D object
representations without requiring heavy annotation efforts or supervision. Unlike …
representations without requiring heavy annotation efforts or supervision. Unlike …
Arc-net: Activity recognition through capsules
Human Activity Recognition (HAR) is a crucial factor in assisted living systems and elderly
care solutions where the activity of the subject can be used to ensure the safety of the elderly …
care solutions where the activity of the subject can be used to ensure the safety of the elderly …
SORCNet: robust non-rigid shape correspondence with enhanced descriptors by Shared Optimized Res-CapsuleNet
Y Lian, D Gu, J Hua - The Visual Computer, 2023 - Springer
Abstract 3D non-rigid shape correspondence, as an important research topic in 3D shape
analysis, is useful but challenging in computer graphics, computer vision, and pattern …
analysis, is useful but challenging in computer graphics, computer vision, and pattern …
Effects of Primary Capsule Shapes and Sizes in Capsule Networks
Capsule networks are a relatively unexplored type of neural network architecture that
preserve spatial information of the input by replacing the pooling layers with convolutional …
preserve spatial information of the input by replacing the pooling layers with convolutional …
Capsule-based Persian/Arabic robust handwritten digit recognition using EM routing
A Ghofrani, RM Toroghi - 2019 4th international conference on …, 2019 - ieeexplore.ieee.org
In this paper, the problem of handwritten digit recognition has been addressed. However,
the underlying language is Persian/Arabic, and the system with which this task is a capsule …
the underlying language is Persian/Arabic, and the system with which this task is a capsule …