Results 41 to 50 of about 29,311 (260)
EDC-Net: Edge Detection Capsule Network for 3D Point Clouds
Applied Sciences, 2021 Edge features in point clouds are prominent due to the capability of describing an abstract shape of a set of points. Point clouds obtained by 3D scanner devices are often immense in terms of size. Edges are essential features in large scale point clouds
Dena Bazazian, M. Eulàlia Parés
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CapSurv: Capsule Network for Survival Analysis With Whole Slide Pathological Images
IEEE Access, 2019 Survival analysis is a branch of statistics to analyze the time duration that is expected until some events of interest happen, like the death in the organisms of biology.
Bo Tang, Ao Li, Bin Li, Minghui Wang
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Next-Generation Neural Networks: Capsule Networks With Routing-by-Agreement for Text Classification
IEEE Access, 2021 These days, neural networks constantly prove their high capacity for nearly every application case and are considered as key technology for learning systems.
Nikolai A. K. Steur, Friedhelm Schwenker
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Class-Variational Learning With Capsule Networks for Deep Entity-Subspace Clustering
IEEE Access, 2023 The progression of deep clustering techniques in the recent years emphasizes the need for unsupervised representation learning methods that build lower-dimensional embeddings within expressive latent feature spaces.
Nikolai A. K. Steur, Friedhelm Schwenker
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How to Accelerate Capsule Convolutions in Capsule Networks
, 2021 How to improve the efficiency of routing procedures in CapsNets has been studied a lot. However, the efficiency of capsule convolutions has largely been neglected. Capsule convolution, which uses capsules rather than neurons as the basic computation unit, makes it incompatible with current deep learning frameworks' optimization solution.
Chen, Zhenhua +3 more
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Image Colorization by Capsule Networks [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 Accepted to New Trends in Image Restoration and Enhancement(NTIRE) Workshop at CVPR ...
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Hierarchical Graph Capsule Network
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Graph Neural Networks (GNNs) draw their strength from explicitly modeling the topological information of structured data. However, existing GNNs suffer from limited capability in capturing the hierarchical graph representation which plays an important role in graph classification.
Yang, Jinyu +6 more
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Deep Hybrid Architecture for Very Low-Resolution Image Classification Using Capsule Attention
IEEE AccessDespite extensive applications in surveillance and remote sensing, research on very low-resolution (VLR) image classification remains relatively unexplored in comparison to high-resolution (HR) image classification.
Hasindu Dewasurendra, Taejoon Kim
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TI-Capsule: Capsule Network for Stock Exchange Prediction
, 2021 Today, the use of social networking data has attracted a lot of academic and commercial attention in predicting the stock market. In most studies in this area, the sentiment analysis of the content of user posts on social networks is used to predict market fluctuations. Predicting stock marketing is challenging because of the variables involved. In the
Mousa, Ramin +5 more
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Deepfake Detection Using Meso4Net and Capsule Networks Through Facial Feature and Pattern Analysis
IEEE AccessAI may now be expanded, and its technical potential is increasing every day. The quick expansion is causing risky issues. Complete alteration is taking place in the phony images and films.
Nagalakshmi Pasupuleti +1 more
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