Electronics Optics & Control, Volume. 32, Issue 1, 61(2025)

Infrared Ship Detection Based on Improved YOLOv8

WANG Haiqun... WEI Peixu, XIE Haolong and ZUO Jiawei |Show fewer author(s)
Author Affiliations
  • School of Electrical Engineering, North China University of Science and Technology, Tangshan 063000, China
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    References(12)

    [1] [1] LI J F, LI Z F, CHEN M X, et al. A new ship detection algorithm in optical remote sensing images based on improved R3Det [J]. Remote Sensing, 2022, 14(19):5048.

    [2] [2] YU W B, WANG Z J, LI J M, et al. A lightweight network based on one-level feature for ship detection in SAR images [J]. Remote Sensing, 2022, 14(14):3321.

    [3] [3] LIU S W, KONG W M, CHEN X F, et al. Multi-scale ship detection algorithm based on a lightweight neural network for spaceborne SAR images [J]. Remote Sensing, 2022, 14(5):1149.

    [4] [4] XUE W T, HE M Z, ZHANG Y C, et al. A novel decoupled feature pyramid networks for multi-target ship detection [J]. Sensors, 2023, 23(16):7027.

    [7] [7] HOU Q B, ZHOU D Q, FENG J S. Coordinate attention for efficient mobile network design [C]//2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Nashville: IEEE, 2021: 13713-13722.

    [8] [8] WANG G Q, ZHANG C Z, CHEN M S, et al. A high-accuracy and lightweight detector based on a graph convolution network for strip surface defect detection [J]. Advanced Engineering Informatics, 2024, 59(C):102280.

    [9] [9] DING X H, ZHANG X Y, MA N N, et al. RepVGG: making VGG-style ConvNets great again [C]//2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Nashville: IEEE, 2021: 13733-13742.

    [10] [10] TAN M X, PANG R M, LE Q V. EfficientDet: scalable and efficient object detection [C]//2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle: IEEE, 2020: 10781-10790.

    [11] [11] ZHANG X Y, ZHOU X Y, LIN M X, et al. ShuffleNet: an extremely efficient convolutional neural network for mobile devices [C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). Salt Lake City: IEEE, 2018: 6848-6856.

    [12] [12] HAN K, WANG Y H, TIAN Q, et al. GhostNet: more features from cheap operations [C]//2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle: IEEE, 2020: 1580-1589.

    [13] [13] CHEN J R, KAO S-H, HE H, et al. Run, don’t walk: chasing higher FLOPS for faster neural networks [C]//2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Vancouver: IEEE, 2023: 12021-12031.

    [14] [14] BIFFI L J, MITISHITA E, LIESENBERG V, et al. ATSS deep learning-based approach to detect apple fruits [J]. Remote Sensing, 2021, 13(1):54.

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    WANG Haiqun, WEI Peixu, XIE Haolong, ZUO Jiawei. Infrared Ship Detection Based on Improved YOLOv8[J]. Electronics Optics & Control, 2025, 32(1): 61

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    Paper Information

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    Received: Dec. 24, 2023

    Accepted: Jan. 10, 2025

    Published Online: Jan. 10, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.01.010

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