Improved single shot multibox detector target detection method based on deep feature fusion-Reference-Cited by-同舟云学术

Improved single shot multibox detector target detection method based on deep feature fusion

Author:

Bai Dongxu¹²^ORCID,Sun Ying¹²³,Tao Bo¹²³^ORCID,Tong Xiliang¹²³,Xu Manman¹²³,Jiang Guozhang¹²³,Chen Baojia⁴,Cao Yongcheng⁵,Sun Nannan⁶,Li Zeshen⁷

Affiliation:

1. Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Wuhan China

2. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan China

3. Precision Manufacturing Research Institute Wuhan University of Science and Technology Wuhan China

4. Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance Three Gorges University Yichang China

5. Hubei Jingmen Wusan Machinery Equipment Manufacturing Co., Ltd Jingshan China

6. Huaxia Xingguang industrial design Jiangsu Co., Ltd Suqian China

7. Guangdong Xinhui Cimc Special Transportation Equipment Co., Ltd Jiangmen China

Funder

Hubei Provincial Department of Education

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

Reference81 articles.

1. Overview of scale transformation applications in target detection;Shen F;J Image Graph,2020

4. SSD: single shot multibox detector;Liu W;Eur Conf Comput Vis,2016

5. FuC LiuW RangaA et al.DSSD: deconvolutional single shot detector; 2017. arXiv preprint https://arxiv.org/abs/1701.06659.

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