Results 21 to 30 of about 31,587 (214)

Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification

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, Yushi Chen, Pedram Ghamisi, Xiuping Jia, Jón Atli Benediktsson   +4 more
doaj   +1 more source

Arterial Spin Labeling Image Synthesis From Structural MRI Using Improved Capsule-Based Networks

IEEE Access, 2020
Medical image synthesis receives much popularity in recent years, and ample medical images can be synthesized by diverse deep learning models to alleviate the problem of lack of data in many medical imaging utilizations.
Wei Huang, Mingyuan Luo, Xi Liu, Peng Zhang, Huijun Ding   +4 more
doaj   +1 more source

Efficient-CapsNet: capsule network with self-attention routing

Scientific Reports, 2021
Deep convolutional neural networks, assisted by architectural design strategies, make extensive use of data augmentation techniques and layers with a high number of feature maps to embed object transformations.
Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge   +2 more
doaj   +1 more source

Intelligent Classification of Japonica Rice Growth Duration (GD) Based on CapsNets

Plants, 2022
Rice cultivation in cold regions of China is mainly distributed in Heilongjiang Province, where the growing season of rice is susceptible to low temperature and cold damage.
Xin Zhao, Jianpei Zhang, Jing Yang, Bo Ma, Rui Liu, Jifang Hu   +5 more
doaj   +1 more source

A Combination of Dilated Self-Attention Capsule Networks and Bidirectional Long- and Short-Term Memory Networks for Vibration Signal Denoising

Machines, 2022
As scalar neurons of traditional neural networks promote dimension reduction caused by pooling, it is a difficult task to extract the high-dimensional spatial features and long-term correlation of pure signals from the noisy vibration signal.
Youming Wang, Gongqing Cao, Jiali Han
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

Deep Hybrid Architecture for Very Low-Resolution Image Classification Using Capsule Attention

IEEE Access
Despite 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
doaj   +1 more source