Infrared and Laser Engineering, Volume. 54, Issue 3, 20240487(2025)

Research on infrared ship target detection algorithm based on local-global self-attention and spatial-channel sparse enhancement

Yupei LI and Zhonghua WANG
Author Affiliations
  • School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China
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    References(22)

    [6] [6] LIU W, ANGUELOV D, ERHAN D, et al. SSD: Single shot multiBox detect[C] 2016 IEEECVF Conference on Computer Vision Pattern Recognition, 2016: 2137.

    [9] J GU, B LI, K LIU. Infrared ship target detection algorithm based on improved faster R-CNN. Infrared Technology, 43, 170-178(2021).

    [10] [10] BODLA N, SINGH B, CHELLAPPA R, et al. SoftNMS improving object detection with one line of code[C]2017 IEEECVF Conference on Computer Vision Pattern Recognition, 2017: 55615569.

    [11] [11] VARGHESE R, M S. YOLOv8: A novel object detection algithm with enhanced perfmance robustness[C]2024 International Conference on Advances in Data Engineering Intelligent Computing Systems, 2024: 16.

    [15] [15] VASWANI A, SHAZEER N, PARMAR N, et al. Attention is all you need[C]Proceedings of the 31st International Conference on Neural Infmation Processing Systems, 2017: 60006010.

    [17] L QIAN, Y ZHENG, J CAO et al. Lightweight ship target detection algorithm based on improved YOLOv5s. Journal of Real-Time Image Processing, 21, 3(2024).

    [21] [21] NGUYEN T, TRAN H, TRAN T, et al. FAYOLOv9: Improved YOLOv9 based on feature attention block[C]2024 International Conference on Multimedia Analysis Pattern Recognition, 2024: 16.

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    Yupei LI, Zhonghua WANG. Research on infrared ship target detection algorithm based on local-global self-attention and spatial-channel sparse enhancement[J]. Infrared and Laser Engineering, 2025, 54(3): 20240487

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    Paper Information

    Category: Optical imaging, display and information processing

    Received: Oct. 28, 2024

    Accepted: --

    Published Online: Apr. 8, 2025

    The Author Email:

    DOI:10.3788/IRLA20240487

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