An improved SSD for small target detection
文献类型：会议论文
| 作者 | Li X(李翔)1,2,3,4,5; Luo HB(罗海波)1,2,3,4,5
|
| 出版日期 | 2021 |
| 会议日期 | January 8-10, 2021 |
| 会议地点 | Zhuhai, China |
| 关键词 | Convolution neural network Small targets SSD Target detection |
| 页码 | 7-11 |
| 英文摘要 | SSD is one of heuristic one-stage target detection approaches. Although it has got impressive results in general target detection, it still struggles in small-size object detection and precise location. In this paper, we proposed an improved SSD which forces on the small-size target detection. We include a shallow and high resolution feature into the hierarchical detection feature which are used for prediction. Then, we fuse the detection features (including the shallow and high resolution one) as a feature pyramid through some convolution layers and unsample operations to pass information from deep features to the shallow ones, aiming to enrich the semantic information of the shallow features. To make the network easier to converge, we add a L2 normalization to the bottom detection feature of the feature pyramid to make a norm balance between each pyramid feature. The experimental results on the VEDAI dataset show that the proposed method has obtained impressive progress than the original SSD for the small targets detection. |
| 产权排序 | 1 |
| 会议录 | 2021 6th International Conference on Multimedia and Image Processing, ICMIP 2021
 |
| 会议录出版者 | ACM |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISSN号 | 978-1-4503-8916-7 |
| 源URL | [http://ir.sia.cn/handle/173321/29155]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 通讯作者 | Li X(李翔) |
| 作者单位 | 1.The Key Laboratory of Image Understanding and Computer Vision, Shenyang, Liaoning, 110016, China 2.University of Chinese Academy of Sciences, Beijing, 100049, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110169, China 4.Key Laboratory of Opt-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, 110016, China 5.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China |
| 推荐引用方式 GB/T 7714 | Li X,Luo HB. An improved SSD for small target detection[C]. 见:. Zhuhai, China. January 8-10, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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