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Improved Detection and Recognition of Sea Surface Ships Based on YOLOv3

Authors:

Yan XuAuthors Info & Claims

ICECC '21: Proceedings of the 4th International Conference on Electronics, Communications and Control Engineering

Pages 40 - 47

https://doi.org/10.1145/3462676.3462683

Published: 07 September 2021 Publication History

Abstract

In order to improve the accuracy and real-time performance of ship target detection on the sea surface, an improved ship target detection method based on the YOLOv3 algorithm is proposed. Firstly, add the CBAM attention mechanism layer to the network prediction layer to improve the expression of the correlation between the feature map target information and important channels and space; secondly, the spatial pyramid pooling (SPP) module is introduced in YOLOv3 to solve the problem of information loss and scale inconsistency; thirdly, GIoU is selected as the loss function to improve the accuracy of the positioning information of the target prediction frame; then the adaptive spatial feature fusion (ASFF) method is used in the prediction layer to make full use of features of different scales to improve the accuracy of target detection; finally refer to the PASCAL VOC data setting format, established a sea surface ship dataset containing 6041 pictures, and manually annotated it for network training. The test results show that compared with YOLOv3, the improved algorithm can effectively improve the accuracy and speed of ship detection on the sea surface. The detection accuracy (mAP) of ship targets on the sea surface has increased by 2.97% to 94.17%, and the frame rate has reached 48fps. Meet the requirements of real-time detection of ship targets.

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Cited By

Gong YChen ZTan JYin CDeng W(2024)Two-stage ship detection at long distances based on deep learning and slicing techniquePLOS ONE10.1371/journal.pone.031314519:11(e0313145)Online publication date: 19-Nov-2024
https://doi.org/10.1371/journal.pone.0313145
Cafaro MEpicoco IPulimeno MSansebastiano E(2023)Toward Enhanced Support for Ship SailingIEEE Access10.1109/ACCESS.2023.330380811(87047-87061)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3303808
Ding JLi WPei LYang MYe CYuan B(2023)Sw-YoloXExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.119560217:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.119560

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ICECC '21: Proceedings of the 4th International Conference on Electronics, Communications and Control Engineering

April 2021

122 pages

ISBN:9781450389129

DOI:10.1145/3462676

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 07 September 2021

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Natural Science Foundation of China?Shandong Province Postgraduate Education Quality Curriculum Project?Shandong Province Postgraduate Education Joint Training Base Project

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ICECC 2021

ICECC 2021: The 4th International Conference on Electronics, Communications and Control Engineering

April 9 - 11, 2021

Seoul, Republic of Korea

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Cited By

Gong YChen ZTan JYin CDeng W(2024)Two-stage ship detection at long distances based on deep learning and slicing techniquePLOS ONE10.1371/journal.pone.031314519:11(e0313145)Online publication date: 19-Nov-2024
https://doi.org/10.1371/journal.pone.0313145
Cafaro MEpicoco IPulimeno MSansebastiano E(2023)Toward Enhanced Support for Ship SailingIEEE Access10.1109/ACCESS.2023.330380811(87047-87061)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3303808
Ding JLi WPei LYang MYe CYuan B(2023)Sw-YoloXExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.119560217:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.119560

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