Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism

doi:10.1371/journal.pone.0279248

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	Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism
	Z. Q. Sun, C. N. Meng, T. Huang, Z. Q. Zhang and S. J. Chang
	2023
发表期刊	Plos One
ISSN	1932-6203
卷号	18 期号:2 页码:22
摘要	Marine ships are the transport vehicle in the ocean and instance segmentation of marine ships is an accurate and efficient analysis approach to achieve a quantitative understanding of marine ships, for example, their relative locations to other ships or obstacles. This relative spatial information is crucial for developing unmanned ships to avoid crashing. Visible light imaging, e.g. using our smartphones, is an efficient way to obtain images of marine ships, however, so far there is a lack of suitable open-source visible light datasets of marine ships, which could potentially slow down the development of unmanned ships. To address the problem of insufficient datasets, here we built two instance segmentation visible light datasets of marine ships, MariBoats and MariBoatsSubclass, which could facilitate the current research on instance segmentation of marine ships. Moreover, we applied several existing instance segmentation algorithms based on neural networks to analyze our datasets, but their performances were not satisfactory. To improve the segmentation performance of the existing models on our datasets, we proposed a global and local attention mechanism for neural network models to retain both the global location and semantic information of marine ships, resulting in an average segmentation improvement by 4.3% in terms of mean average precision. Therefore, the presented new datasets and the new attention mechanism will greatly advance the marine ship relevant research and applications.
DOI	10.1371/journal.pone.0279248
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收录类别	sci
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67878
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Z. Q. Sun, C. N. Meng, T. Huang, Z. Q. Zhang and S. J. Chang. Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism[J]. Plos One,2023,18(2):22.
APA	Z. Q. Sun, C. N. Meng, T. Huang, Z. Q. Zhang and S. J. Chang.(2023).Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism.Plos One,18(2),22.
MLA	Z. Q. Sun, C. N. Meng, T. Huang, Z. Q. Zhang and S. J. Chang."Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism".Plos One 18.2(2023):22.

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