TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Deeper SSD: Simultaneous Up-sampling and Down-sampling for Drone Detection |
| 영문제목(English Title) |
Deeper SSD: Simultaneous Up-sampling and Down-sampling for Drone Detection |
| 저자(Author) |
Han Sun
Wen Geng
Jiaquan Shen
Ningzhong Liu
Dong Liang
Huiyu Zhou
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| 원문수록처(Citation) |
VOL 14 NO. 12 PP. 4795 ~ 4815 (2020. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Drone detection can be considered as a specific sort of small object detection, which has always been a challenge because of its small size and few features. For improving the detection rate of drones, we design a Deeper SSD network, which uses large-scale input image and deeper convolutional network to obtain more features that benefit small object classification. At the same time, in order to improve object classification performance, we implemented the up-sampling modules to increase the number of features for the low-level feature map. In addition, in order to improve object location performance, we adopted the down-sampling modules so that the context information can be used by the high-level feature map directly. Our proposed Deeper SSD and its variants are successfully applied to the self-designed drone datasets. Our experiments demonstrate the effectiveness of the Deeper SSD and its variants, which are useful to small drone’s detection and recognition. These proposed methods can also detect small and large objects simultaneously.
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| 키워드(Keyword) |
Drone Detection
Small Object Detection
Deeper SSD
Up-sampling Modules
Down-sampling Modules
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| 파일첨부 |
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