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An Improved Capsule Network for Image Classification Using Multi-Scale Feature Extraction [PDF]
Journal of ImagingIn the realm of image classification, the capsule network is a network topology that packs the extracted features into many capsules, performs sophisticated capsule screening using a dynamic routing mechanism, and finally recognizes that each capsule ...
Wenjie Huang +3 more
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An Improved Capsule Network Based on Capsule Filter Routing
IEEE Access, 2021 Capsule network (CapsNet) is a novel type of network that can retain spatial information, because each capsule can integrate more information than scalar-output features.
Wei Wang +3 more
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Capsule Network with Its Limitation, Modification, and Applications—A Survey
Machine Learning and Knowledge Extraction, 2023 Numerous advancements in various fields, including pattern recognition and image classification, have been made thanks to modern computer vision and machine learning methods.
Mahmood Ul Haq +2 more
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Remote Sensing, 2019 Capsule networks can be considered to be the next era of deep learning and have recently shown their advantages in supervised classification. Instead of using scalar values to represent features, the capsule networks use vectors to represent features ...
Kaiqiang Zhu +4 more
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A capsule network-based method for identifying transcription factors [PDF]
Frontiers in Microbiology, 2022 Transcription factors (TFs) are typical regulators for gene expression and play versatile roles in cellular processes. Since it is time-consuming, costly, and labor-intensive to detect it by using physical methods, it is desired to develop a ...
Peijie Zheng +5 more
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Retrieval of Chemical Oxygen Demand through Modified Capsule Network Based on Hyperspectral Data
Applied Sciences, 2019 This study focuses on the retrieval of chemical oxygen demand (COD) in the Baiyangdian area in North China, using a modified capsule network. Herein, the capsule model was modified to analyze the regression relationship between 1-D hyperspectral data and
Chubo Deng, Lifu Zhang, Yi Cen
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DE-CapsNet: A Diverse Enhanced Capsule Network with Disperse Dynamic Routing
Applied Sciences, 2020 Capsule Network (CapsNet) is a methodology with good prospects in visual tasks, since it can keep a stronger relationship of spatial information than Convolutional Neural Networks (CNNs). However, the current Capsule Network do not provide performance as
Bohan Jia, Qiyu Huang
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RGB-D salient object detection via convolutional capsule network based on feature extraction and integration [PDF]
Scientific Reports, 2023 Fully convolutional neural network has shown advantages in the salient object detection by using the RGB or RGB-D images. However, there is an object-part dilemma since most fully convolutional neural network inevitably leads to an incomplete ...
Kun Xu, Jichang Guo
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Change Capsule Network for Optical Remote Sensing Image Change Detection
Remote Sensing, 2021 Change detection based on deep learning has made great progress recently, but there are still some challenges, such as the small data size in open-labeled datasets, the different viewpoints in image pairs, and the poor similarity measures in feature ...
Quanfu Xu +3 more
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A Sentiment Analysis Method of Capsule Network Based on BiLSTM
IEEE Access, 2020 Nowadays, capsule network model is widely used in image processing, whose feature engineering is not suitable for sentiment analysis based on texts obviously.
Yongfeng Dong +5 more
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