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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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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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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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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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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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Developments in Capsule Network Architecture: A Review
Problems like image recognition, object detection, image segmentation need efficacious solution for computer vision. Traditionally, these problems...
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TWACapsNet: a capsule network with two-way attention mechanism for speech emotion recognition
Speech Emotion Recognition (SER) is a challenging task, and the typical convolutional neural network (CNN) cannot well handle the speech data...
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Fire and Smoke Detection Using Capsule Network
Video surveillance and image processing approaches are widely used nowadays for security and safety purposes. Such systems are also effective for...
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Wireless capsule endoscopy multiclass classification using three-dimensional deep convolutional neural network model
BackgroundWireless capsule endoscopy (WCE) is a patient-friendly and non-invasive technology that scans the whole of the gastrointestinal tract,...
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Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images
Wireless capsule endoscopy (WCE) enables imaging and diagnostics of the gastrointestinal (GI) tract to be performed without any discomfort. Despite...
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Image Captioning Using Capsule Neural Network and LSTM
Machine translation and extracting meaningful language descriptions has always been a challenging task in the computer vision field. This paper...
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Modern Challenges and Limitations in Medical Science Using Capsule Networks: A Comprehensive Review
Capsule networks (CapsNet), an emerging neural network architecture, is now used in medical science to develop potential tools and applications....
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Predicting the prevalence of complex genetic diseases from individual genotype profiles using capsule networks
Diseases that have a complex genetic architecture tend to suffer from considerable amounts of genetic variants that, although playing a role in the...
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EMG-CapsNet: Elu Multiplication Gate Capsule Network for Complex Images Classification
Capsule Network presents a new generation of neural networks in the deep learning field. It shows its potential in image classification by grou**...
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Biomedical event extraction on input text corpora using combination technique based capsule network
Biomedical Event Extraction (BEE) is a demanding and prominent technology that attracts the researchers and scientists in the field of natural...
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Optimization of CNN in Capsule Networks for Alzheimer’s Disease Prediction Using CT Images
Alzheimer’s disease is a cumulative and irreparable disorder that affects remembrance and some other mental functionality, commonly observed in...
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BiGRU attention capsule neural network for persian text classification
Text classification is a significant part of the business world. In the news classification world, detection of the subject is an important issue...
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Automated Detection of Wireless Capsule Endoscopy Polyp Abnormalities with Deep Transfer Learning and Support Vector Machines
Polyp detection in wireless capsule endoscopy (WCE) is still an unsolved problem due to the large variation of polyps in terms of shape, color and...