| A Lightweight Remote Sensing Aircraft Target Detection Network Based on Improved YOLOv5n | |
Wang, Jiale1,2; Bai, Zhe1 ; Zhang, Ximing1; Qiu, Yuehong1
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| 2023 | |
| 会议名称 | 9th International Conference on Computer and Communications, ICCC 2023 |
| 会议录名称 | 2023 9th International Conference on Computer and Communications, ICCC 2023 |
| 页码 | 1678-1683 |
| 会议日期 | 2023-12-08 |
| 会议地点 | Hybrid, Chengdu, China |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 产权排序 | 1 |
| 摘要 | Aiming at the problem that the target detection algorithm based on deep learning has a large number of network parameters and high requirements for computing resources, so that it is difficult to deploy on small hardware terminals. This paper proposes a lightweight remote sensing aircraft target detection network based on improved YOLOv5n, which fuses ShuffleNetV2 and Coordinate Attention (CA) mechanism. Firstly, we replace the Backbone part of the YOLOv5n network with the lightweight network ShuffleNetV2, which works well on target extraction and greatly reduces the model volume of the network; Secondly, we add the CA mechanism of cross-channel information to focus on direction perception and position information, and significantly improve the efficiency of target detection; Finally, in the loss function part, we use EIoU loss to speed up convergence and improve regression accuracy. The experimental results show that on the public dataset MAR20, our lightweight network extremely reduces the parameters by 84.4%, improves FPS by 6.5%, and reduces mAP@0.5 by 4.2% compared with the original YOLOv5n model. © 2023 IEEE. |
| 关键词 | Deep learning lightweight network YOLOv5n ShuffleNetV2 Coordinate Attention EIoU loss |
| 作者部门 | 空间光学技术研究室 |
| DOI | 10.1109/ICCC59590.2023.10507627 |
| 收录类别 | EI |
| ISBN号 | 9798350317251 |
| 语种 | 英语 |
| EI入藏号 | 20242016097458 |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/97476 |
| 专题 | 空间光学技术研究室 |
| 作者单位 | 1.Xi'an Institute of Optics and Precision Mechanics of Cas, Space Optics Technology Research Laboratory, Xi'an; 710119, China; 2.University of Chinese Academy of Sciences, Beijing; 100049, China |
| 推荐引用方式 GB/T 7714 | Wang, Jiale,Bai, Zhe,Zhang, Ximing,et al. A Lightweight Remote Sensing Aircraft Target Detection Network Based on Improved YOLOv5n[C]:Institute of Electrical and Electronics Engineers Inc.,2023:1678-1683. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| A Lightweight Remote（4898KB） | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 | ||
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