Have a personal or library account? Click to login
SSD Object Detection Algorithm Based on Feature Fusion and Channel Attention Cover

SSD Object Detection Algorithm Based on Feature Fusion and Channel Attention

By: Leilei Fan,  Jun Yu and  Zhiyi Hu  
Open Access
|May 2023

References

  1. Li Weiqiang, Wang Dong, Ning Zhengtong, Lu Mingliang, Qin Pengfei. A review of fruit target detection algorithms under computer vision [J]. Computers and Modernization, 2022(06):87–95.
  2. Lv Lu, Cheng Hu, Zhu Hongtai, Dai Nianshu. A review of target detection research and application based on deep learning [J]. Electronics and Mounting, 2022, 22(01):72–80. DOI:10.16257/j.cnki.1681-1070.2022.0114.
  3. Deng Quan, Lin Xingxing. Improved SSD-based algorithm for marine life detection [J]. Computer Technology and Development, 2022, 32(04):51–56.
  4. Xie F, Zhu D. B.. A review of deep learning target detection methods [J]. Computer Systems Applications, 2022, 31(02):1–12. doi:10.15888/j.cnki.csa.008303.
  5. Peng Hongxing, Li Jing, Xu Huiming, Chen Hu, Xing Zheng, He Huijun, Xiong Juntao. Litchi detection based on multiple feature enhancement and feature fusion SSD [J]. Journal of Agricultural Engineering, 2022, 38(04):169–177.
  6. Jia Kexin, Ma Zhenghua, Zhu Rong, Li Yonggang. Attention mechanism to improve lightweight SSD model for sea surface small target detection [J]. Chinese Journal of Graphics, 2022, 27(04):1161–1175.
  7. Zheng Qiumei, Xu Linkang, Wang Fenghua, Lin Chao. Pyramid scene resolution network based on improved self-attention mechanism[J/OL]. Computer Engineering:1–9[2022-07-08]. DOI:10.19678/j.issn.1000-3428.0063652.
  8. Huang Yichuan, Li Lianghai, Ma Jijun, Cui Huimin. Research on aerial photography target detection algorithm based on improved SSD algorithm [J]. Telemetry and Remote Control, 2022, 43(03):79–85.
  9. Gao Na, Wu Qing, Zhang Man-ho. Multi-scale feature enhancement algorithm for SSD target detection [J]. Journal of Hebei University of Technology, 2022, 51(02):23–30.
  10. Guo Jianzhong, Yu Tengfei, Cui Yuding, Zhou Xinglin. Research on improved SSD-based vehicle small target detection algorithm [J]. Computer Technology and Development, 2022, 32(03):1–7.
  11. Yin, Meng-Yuan. Research on SSD target detection algorithm based on attention mechanism[C]. Anhui University of Technology, 2021.
  12. Sun Peng. Research on small target detection based on improved SSD model[C]. Nanjing University of Posts and Telecommunications, 2021.
  13. Yao Guanghua, Wu Xuncheng, Zhang Xuexiang, and Squire Jun. A small target detection method incorporating contextual information features [J]. Computer and Digital Engineering, 2022, 50(05):1018–1022.
  14. Yang Haojie, Wang Lu, Yang Shengwei. A feature fusion-based road target detection method [J]. Journal of Changsha University, 2022, 36(02):1–6.
  15. Li Kequan, Chen Yan, Liu Jia Chen, Mou Xiangwei. A review of deep learning-based target detection algorithms [J/OL]. Computer Engineering:1–17[2022-07-09]. DOI:10.19678/j.issn.1000-3428.0062725.
  16. Liu X. Research on improved SSD-based target detection algorithm [D]. Xiangtan University, 2021. DOI:10.27426/d.cnki.gxtdu.2021.002054.
  17. Wang Yanni, Yu Lixian. Attention and multi-scale effective fusion of SSD target detection algorithm [J]. Computer Science and Exploration, 2022, 16(02):438–447.
  18. He Jingyuan, Xie, Shenglong, Tian Yuan, Tian Qinqin. Multi-scale feature fusion for target detection algorithm [J]. Henan Science, 2021, 39(07):1045–1051.
  19. Wu T-C, Wang X-T, Cai Y-J, Jing Y-B, Chen C-Y. Lightweight SSD target detection method based on feature fusion [J]. Liquid Crystal and Display, 2021, 36(10):1437–1444.
  20. LIU W, ANGUELOV D, ERHAN D, et al. SSD: Single shot multibox detector[C]// European Conference on Computer Vision. Springer, Cham, 2016: 21–37.
Language: English
Page range: 80 - 89
Published on: May 24, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Leilei Fan, Jun Yu, Zhiyi Hu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.