Section 2 provides a brief overview of AI concepts that are heavily utilized in DL. CNNs and CapsNets are discussed in 3 Convolutional Neural Networks (CNNs), 4 Capsule Networks (CapsNet) respectively. The structure, implementations and performance evaluation methods are reviewed in Section 5 ...
CVPR2019包含了多个与胶囊网络相关的教程,本文介绍其中Yogesh Rawat的一篇综述PPT《Capsule Networks: A Survey》,其内容大致如下: 简介 早期工作 基础工作 视频胶囊 路由 动态和EM 注意力 多模态 通用 快速动态路由 模态 视觉:图像和视频 文本 图 3D点云 问题领域 分类 分割 定位 应用 关系抽取 对抗检测 脑瘤分类...
Symbolic Artificial Intelligence with its hard coding rules is incapable of solving these complex problems resulting in the introduction of Deep Learning (DL) models such as Recurrent Neural Networks and Convolutional Neural Networks (CNN). However, CNNs require lots of training data and are ...
CVPR2019包含了多个与胶囊网络相关的教程,本文介绍其中Yogesh Rawat的一篇综述PPT《Capsule Networks: A Survey》,其内容大致如下: 简介 早期工作 基础工作 视频胶囊 路由 动态和EM 注意力 多模态 通用 快速动态路由 模态 视觉:图像和视频 文本 图 3D点云 问题领域 分类 分割 定位 应用 关系抽取 对抗检测 脑瘤分类...
Significantly, the characteristic of viewpoint invariance inherent to capsule networks, as well as their approach to part-whole relationship processing, both play a positive role in the handling of objects, especially in the treatment of cultural relics such as porcelain artifact fragments. In traditio...
Routing enhancement in wireless sensor networks based on capsule networks: A surveydoi:10.22075/ijnaa.2022.6325Abdullah, Hussein JawadAbdullah, Mohammed NajmInternational Journal of Nonlinear Analysis & Applications
Therefore, we can make a key step forward for the security of safety–critical applications by employing deep and complex networks such as the DeepCaps. Before proceeding to the technical sections, in Section 2 we present an overview of the CapsNets and of the adversarial attacks, to a level...
Object detectors involving a NAS-gate convolutional module and capsule attention module Article Open access 10 March 2022 Efficient-CapsNet: capsule network with self-attention routing Article Open access 19 July 2021 Significant feature suppression and cross-feature fusion networks for fine-grained...
We introduce Multi-Lane Capsule Networks (MLCN), which are a separable and resource efficient organization of Capsule Networks (CapsNet) that allows parallel processing, while achieving high accuracy at reduced cost. A MLCN is composed of a number of (distinct) parallel lanes, each contributing ...
a novel 3d-cnn model for lesion detection in wce frames is proposed in this study. conclusion the results indicate the performance of 3d-cnn over 2d-cnn and some well-known pre-trained classifier networks. the proposed 3d-cnn model uses the rich temporal information in adjacent frames as well...