Efficient-capsnet: Capsule network with self-attention routing
Deep convolutional neural networks, assisted by architectural design strategies, make
extensive use of data augmentation techniques and layers with a high number of feature …
extensive use of data augmentation techniques and layers with a high number of feature …
3dconvcaps: 3dunet with convolutional capsule encoder for medical image segmentation
Convolutional Neural Networks (CNNs) have achieved promising results in medical image
segmentation. However, CNNs require lots of training data and are incapable of handling …
segmentation. However, CNNs require lots of training data and are incapable of handling …
Rohnas: A neural architecture search framework with conjoint optimization for adversarial robustness and hardware efficiency of convolutional and capsule networks
Neural Architecture Search (NAS) algorithms aim at finding efficient Deep Neural Network
(DNN) architectures for a given application under given system constraints. DNNs are …
(DNN) architectures for a given application under given system constraints. DNNs are …
Research on business English grammar detection system based on LSTM model
X Huang - Journal of Intelligent Systems, 2024 - degruyter.com
In order to solve the problems that the current English grammar correction algorithms are not
effective, the error correction ability is limited, and the error correction accuracy needs to be …
effective, the error correction ability is limited, and the error correction accuracy needs to be …
Survey on Capsule Network's Depth Scalability and Learned Feature Spatial Relationships Retention
In 2017, the first working architecture of capsule networks called Capsule Network with
Dynamic Routing (CapsNet) was introduced and shown to perform better than Convolutional …
Dynamic Routing (CapsNet) was introduced and shown to perform better than Convolutional …
Structural-parametric Synthesis of Capsule Neural Networks
V Sineglazov, D Kudriev - 2023 - dspace.nau.edu.ua
This work is dedicated to the structural-parametric synthesis of capsule neural networks. A
methodology for structural-parametric synthesis of capsule neural networks has been …
methodology for structural-parametric synthesis of capsule neural networks has been …
Emotion Analysis Base on Capsule Network
X Yang, N Li - 2021 IEEE International Conference on Power …, 2021 - ieeexplore.ieee.org
Fine-grained sentiment analysis is a research hotspot in the field of natural language
processing. Among them, short text sentiment analysis because of the less content. It is …
processing. Among them, short text sentiment analysis because of the less content. It is …