Results 1 to 10 of about 50,982 (125)
Heart Murmur Classification Using a Capsule Neural Network [PDF]
Bioengineering, 2023 The healthcare industry has made significant progress in the diagnosis of heart conditions due to the use of intelligent detection systems such as electrocardiograms, cardiac ultrasounds, and abnormal sound diagnostics that use artificial intelligence ...
Yu-Ting Tsai +4 more
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E2‐capsule neural networks for facial expression recognition using AU‐aware attention
IET Image Processing, 2020 Capsule neural network is a new and popular technique in deep learning. However, the traditional capsule neural network does not extract features sufficiently before the dynamic routing between capsules.
Shan Cao, Yuqian Yao, Gaoyun An
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A Novel Capsule Based Hybrid Neural Network for Sentiment Classification
IEEE Access, 2019 Sentiment classification of short text is a challenging task because of limited contextual information. We propose a capsule-based hybrid neural network model which can obtain the implicit semantic information effectively.
Yongping Du +3 more
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Remote Sensing, 2022 Models based on capsule neural network (CapsNet), a novel deep learning method, have recently made great achievements in hyperspectral remote sensing image (HSI) classification due to their excellent ability to implicitly model the spatial relationship ...
Runmin Lei +6 more
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DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network. [PDF]
Comput Biol Med, 2021 Quan H +5 more
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Improved Two-Branch Capsule Network for Hyperspectral Image Classification [PDF]
Jisuanji kexue yu tansuo, 2022 The method based on the dual-channel capsule network extracts spectral information and spatial informa-tion separately in two channels, which not only retains the feature extraction method of the dual-channel convolu-tional neural network, but also ...
ZHANG Haitao, CHAI Simin
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Multi-branch RA Capsule Network and Its Application in Image Classification [PDF]
Jisuanji kexue, 2022 Capsule Network is a new type of deep neural network that uses vectors to express information of image feature and overcomes two major problems of convolutional neural networks by introducing dynamic routing algorithms.First,convolutional neural networks
WU Lin, SUN Jing-yu
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Residual Vector Capsule: Improving Capsule by Pose Attention
IEEE Access, 2021 The convolutional neural network has significantly improved the accuracy of image recognition; however, it performs in a fragile manner when we apply viewpoint transformation or add noise to the image.
Ning Xie, Xiaoxia Wan
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Attention enhanced capsule network for text classification by encoding syntactic dependency trees with graph convolutional neural network [PDF]
PeerJ Computer Science, 2022 Text classification is a fundamental task in many applications such as topic labeling, sentiment analysis, and spam detection. The text syntactic relationship and word sequence are important and useful for text classification.
Xudong Jia, Li Wang
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Image Super-Resolution Using Capsule Neural Networks
IEEE Access, 2020 Convolutional neural networks (CNNs) have been widely applied in super-resolution (SR) and other image restoration tasks. Recently, Hinton et al. proposed capsule neural networks to resolve the problem of viewpoint variations in image classification ...
Jui-Ting Hsu, Chih-Hung Kuo, De-Wei Chen
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