Research on Capsule Network Based on Attention Mechanism

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International Journal of Advanced Network, Monitoring and Controls

Xi'an Technological University

Subject: Computer Science, Software Engineering

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eISSN: 2470-8038

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VOLUME 6 , ISSUE 2 (Jul 2021) > List of articles

Research on Capsule Network Based on Attention Mechanism

Yan Jiao * / Li Zhao * / Hexin Xu *

Keywords : Component, Capsule Net, CBAM, Attention

Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 6, Issue 2, Pages 1-8, DOI: https://doi.org/10.21307/ijanmc-2021-011

License : (CC-BY-NC-ND 4.0)

Published Online: 12-July-2021

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FIGURES & TABLES

Figure 1.

The original capsule network

Figure 2.

CBAM Module

Figure 3.

Channel Attention Module

Figure 4.

Spatial Atttion Module

Figure 5.

Capsule network based on attention mechanism

REFERENCES

  1. Sara Sabour. Dynamic Routing Between Capsules. https://arxiv.org/abs/1710.09829, 2017-11-07J.
  2. A-reum Lee, Yongwon Cho, Seongho Jin, Namkug Kim. Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room [J]. Elsevier B.V., 2020, 190.
  3. Amlan Basu, Lykourgos Petropoulakis, Gaetano Di Caterina, John Soraghan. Indoor Home Scene Recognition Using Capsule Neural Networks [J]. Elsevier B.V., 2020, 167.
  4. Yujia Wu, Jing Li, Jia Wu, Jun Chang. Siamese capsule networks with global and local features for text classification [J]. Elsevier B.V., 2020, 390.
  5. Technology – Ambient Intelligence and Humanized Computing; Findings from Aliah University in the Area of Ambient Intelligence and Humanized Computing Reported (Handwritten Arabic numerals recognition using convolutional neural network) [J]. Journal of Engineering, 2020.
  6. Lu Chunyan. Improvement of Capsule Network and Its Application in Image Generation [D]. Southwest University, 2019.
  7. Ren Qiang, He Lianghua. Research on Variable Dimension Capsule Based on Capsule Network [J]. Computer knowledge and technology, 2020, 16(02):204–205l.
  8. Jaiswal Amit Kumar, Tiwari Prayag, Garg Sahil, Hossain M. Shamim. Entity-aware capsule network for multi-class classification of big data: A deep learning approach [J]. Future Generation Computer Systems, 2021, 117.
  9. Ren Haohao, Yu Xuelian, Zou Lin, Zhou Yun, Wang Xuegang, Bruzzone Lorenzo. Extended convolutional cap sule network with application on SAR automatic target recognition [J]. Signal Processing, 2021, 183(prepublish).
  10. Long Fei, Peng Jing-Jie, Song Weitao, Xia Xiaobo, Sang Jun. BloodCaps: A capsule network based model for the multiclassification of human peripheral blood cells [J]. Computer Methods and Programs in Biomedicine, 2021, 202.
  11. Hongwang Xiao, Yun Yang, Ke Yu, Jiao Tian, Xinyi Cai, Usman Muhammad, Jinjun Chen. Sign language digits and alphabets recognition by capsule networks [J]. Journal of Ambient Intelligence and Humanized Computing, 2021.
  12. Tiwari Shamik. Dermatoscopy Using Multi-Layer Perceptron, Convolution Neural Network, and Capsule Network to Differentiate Malignant Melanoma From Benign Nevus [J]. International Journal of Healthcare Information Systems and Informatics (IJHISI), 2021, 16(3).
  13. Akshi Kumar, Nitin Sachdeva. Multimodal cyberbullying detection using capsule network with dynamic routing and deep convolutional neural network [J]. Multimedia Systems, 2021.

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