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Improved Faster R-CNN Algorithm for Sea Object Detection Under Complex Sea Conditions Cover

Improved Faster R-CNN Algorithm for Sea Object Detection Under Complex Sea Conditions

International Journal of Advanced Network, Monitoring and Controls
Volume 5 (2020): Issue 2 (January 2020)
By: Liu Yabin,  Yu Jun and  Hu Zhiyi  
Open Access
|Jul 2020
Authors

Authors

Liu Yabin

1135616154@qq.com

School of Computer Science and Engineering Xi’an Technological University, Xi’an, China

Yu Jun

763757335@qq.com

Engineering Design Institute Army Research Loboratory, Beijing, China

Hu Zhiyi

yujun@xatu.edu.cn

School of Computer Science and Engineering Xi’an Technological University, Xi’an, China
DOI: https://doi.org/10.21307/ijanmc-2020-020 | Journal eISSN: 2470-8038
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Language: English
Page range: 76 - 82
Published on: Jul 13, 2020
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Sea Surface Object Detection,
Faster R-CNN Algorithm,
K-Means Clustering Algorithm,
Soft-NMS
Related subjects:
Computer sciences,
Computer sciences, other

© 2020 Liu Yabin, Yu Jun, Hu Zhiyi, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 5 (2020): Issue 2 (January 2020)
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