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A novel capsule network based on deep routing and residual learning
Capsule network is a novel network structure based on vector, which has excellent performance in image classification and attracted the attention of...
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Resource-Aware Capsule Network
Capsule Networks (CapsNets) are a generation of image classifiers with proven advantages over Convolutional Neural Networks (CNNs). Better robustness...
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An intelligent deep learning based capsule network model for human detection in indoor surveillance videos
At present times, indoor surveillance becomes a hot research topic among researchers and business sectors. Human detection is one of the vital areas...
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Text Sentiment Analysis Based on a Dynamic Pruning Capsule Network
Dynamic pruning of capsules and a variable weight BIGRU model (DP-CAPS-VW-BIGRU) are proposed in this paper to address the problem of unnecessary...
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Hardware and Software Optimizations for Capsule Networks
Among advanced Deep Neural Network models, Capsule Networks (CapsNets) have shown high learning and generalization capabilities for advanced tasks....
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WideCaps: a wide attention-based capsule network for image classification
The capsule network is a distinct and promising segment of the neural network family that has drawn attention due to its unique ability to maintain...
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GACaps-HTC: graph attention capsule network for hierarchical text classification
Hierarchical text classification has been receiving increasing attention due to its vast range of applications in real-world natural language...
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Convolutional Fully-Connected Capsule Network (CFC-CapsNet): A Novel and Fast Capsule Network
A Capsule Network (CapsNet) is a relatively new classifier and one of the possible successors of Convolutional Neural Networks (CNNs). CapsNet...
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CapsNetYY1: identifying YY1-mediated chromatin loops based on a capsule network architecture
BackgroundPrevious studies have identified that chromosome structure plays a very important role in gene control. The transcription factor Yin Yang 1...
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Hybrid Capsule Network for Hyperspectral Image Unmixing and Classification
Hyperspectral unmixing identifies and quantifies the materials in each mixed pixel of a hyperspectral image arising from low spatial resolution....
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EDU-Capsule: aspect-based sentiment analysis at clause level
Many studies on aspect-based sentiment analysis (ABSA) aim to directly predict aspects and polarities at sentence level. However, it is not rare that...
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A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure
IntroductionEpilepsy is a disease characterized by an excessive discharge in neurons generally provoked without any external stimulus, known as...
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CharCaps: Character-Level Text Classification Using Capsule Networks
Text classification is a hot topic in the field of natural language processing and has achieved great success. Existing character-level text...
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A medical text classification approach with ZEN and capsule network
Text classification is an important topic in natural language processing, with the development of social network, many question-and-answer pairs...
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A Grad-CAM and capsule network hybrid method for remote sensing image scene classification
Remote sensing image scene classification and remote sensing technology applications are hot research topics. Although CNN-based models have reached...
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Aspect-Based Sentiment Analysis Using Adversarial BERT with Capsule Networks
Aspect-based sentiment analysis aims to predict the sentiment polarity of a given aspect in a sentence. The previous methods based on RNNs and...
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A Review of Capsule Networks in Medical Image Analysis
Computer-aided diagnosis technologies are gaining increased focus within the medical field due to their role in assisting physicians in their...
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An interactive multi-head self-attention capsule network model for aspect sentiment classification
The endpoint of aspect-level sentiment classification, a finely ground categorization task in sentiment analysis, is to gauge the polarity for...
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Generalization to unseen viewpoint images of objects via alleviated pose attentive capsule agreement
Despite their achievements in object recognition, Convolutional Neural Networks (CNNs) particularly fail to generalize to unseen viewpoints of a...
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Developments in Capsule Network Architecture: A Review
Problems like image recognition, object detection, image segmentation need efficacious solution for computer vision. Traditionally, these problems...