Results 41 to 50 of about 83,262 (269)
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 +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 +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 +5 more
doaj +1 more source
Capsule Routing for Sound Event Detection [PDF]
, 2018 The detection of acoustic scenes is a challenging problem in which environmental sound events must be detected from a given audio signal. This includes classifying the events as well as estimating their onset and offset times.
bahdanau +14 more
core +2 more sources
CoRR, 2019 Capsule Networks attempt to represent patterns in images in a way that preserves hierarchical spatial relationships. Additionally, research has demonstrated that these techniques may be robust against adversarial perturbations. We present an improvement to training capsule networks with added robustness via non-parametric kernel methods.
Taylor W. Killian +3 more
openaire +2 more sources
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
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 ...
openaire +3 more sources
Wasserstein Routed Capsule Networks
CoRR, 2020 8 pages, 3 ...
Alexander Fuchs 0009, Franz Pernkopf
openaire +2 more sources
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