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 …
Simplified Routing Mechanism for Capsule Networks
Classifying digital images using neural networks is one of the most fundamental tasks within
the field of artificial intelligence. For a long time, convolutional neural networks have proven …
the field of artificial intelligence. For a long time, convolutional neural networks have proven …
Capsule network with its limitation, modification, and applications—A survey
Numerous advancements in various fields, including pattern recognition and image
classification, have been made thanks to modern computer vision and machine learning …
classification, have been made thanks to modern computer vision and machine learning …
Star-caps: Capsule networks with straight-through attentive routing
K Ahmed, L Torresani - Advances in neural information …, 2019 - proceedings.neurips.cc
Capsule networks have been shown to be powerful models for image classification, thanks
to their ability to represent and capture viewpoint variations of an object. However, the high …
to their ability to represent and capture viewpoint variations of an object. However, the high …
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 …
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 …
[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 …
Capsule network performance on complex data
E Xi, S Bing, Y Jin - arXiv preprint arXiv:1712.03480, 2017 - arxiv.org
In recent years, convolutional neural networks (CNN) have played an important role in the
field of deep learning. Variants of CNN's have proven to be very successful in classification …
field of deep learning. Variants of CNN's have proven to be very successful in classification …
Capsule networks with non-iterative cluster routing
Z Zhao, S Cheng - Neural Networks, 2021 - Elsevier
Capsule networks use routing algorithms to flow information between consecutive layers. In
the existing routing procedures, capsules produce predictions (termed votes) for capsules of …
the existing routing procedures, capsules produce predictions (termed votes) for capsules of …
Res-capsnet: Residual capsule network for data classification
X Jia, J Li, B Zhao, Y Guo, Y Huang - Neural Processing Letters, 2022 - Springer
Capsule network is a new network structure which can encode the properties and spatial
relations of image features. It overcomes the shortcomings of CNN that requiring large …
relations of image features. It overcomes the shortcomings of CNN that requiring large …