Underwater Object Detection
Underwater Object Detection is a computational task in subsea sensing and underwater perception that involves identifying and localizing objects within underwater environments from sensor data, distinguished by its focus on overcoming challenges such as poor visibility, complex backgrounds, and acoustic or optical distortions inherent to aquatic conditions.
618
Publications
28.8K
Citations
2.2K
Authors
601
Institutions
Publications per year
2017–2026
453
618
Boosting R-CNN: Reweighting R-CNN samples by RPN’s error for underwater object detection
Pinhao Song, Pengteng Li, Linhui Dai et al. · Neurocomputing · 2023 · 269 citations
DeepFish: Accurate underwater live fish recognition with a deep architecture
Hongwei Qin, Xiu Li, Jian Liang et al. · Neurocomputing · 2015 · 259 citations
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601

Ocean University of China
Qingdao, China
21 h-index
98 publications
4.2K citations

Dalian Maritime University
Dalian, China
17 h-index
63 publications
3.4K citations

Chinese Academy of Sciences
Beijing, China
16 h-index
49 publications
2.2K citations

Harbin Engineering University
Harbin, China
16 h-index
68 publications
3.3K citations

Northwestern Polytechnical University
Xi'an, China
14 h-index
52 publications
1.4K citations

Peking University
Beijing, China
11 h-index
29 publications
3.1K citations

Hohai University
Nanjing, China
11 h-index
39 publications
1.5K citations
Peng Cheng Laboratory
Shenzhen, China
11 h-index
20 publications
4.4K citations
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33 publications · 1.2K citations
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24 publications · 989 citations
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19 publications · 1.2K citations
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19 publications · 1.2K citations
17
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16 publications · 964 citations
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