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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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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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An Improved Capsule Network Based on Capsule Filter Routing [PDF]
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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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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UCaps Network Based on EM-Routing Algorithm for Medical Image Segmentation [PDF]
Jisuanji gongcheng, 2022 The existing medical image segmentation networks are limited in segmentation accuracy, and often lose image information as well as produce vague segmentation boundary.In this paper, we propose a multi-label image segmentation network named UCaps, which ...
WANG Wenxin, HE Yuhang, CHEN Gang
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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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PM2.5 hourly concentration prediction based on graph capsule networks
Electronic Research Archive, 2023 In this paper, we use a graph capsule network to capture the spatial dependence of air quality data and meteorological data among cities, then use an LSTM network to model the temporal dependence of air pollution levels in specific cities and finally ...
Suhua Wang +5 more
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网络与信息安全学报, 2023 With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic ...
Guozhen SHI +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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Research of Short Text Multi-intent Detection with Capsule Network
Jisuanji kexue yu tansuo, 2020 Intent detection is a key sub-task of spoken language understanding in human-machine dialogue system. Considering the problem of user's multi-intent expressed, a multi-intent classifier based on single-intent marker is constructed by using capsule ...
LIU Jiao, LI Yanling, LIN Min
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