Electronics Optics & Control, Volume. 32, Issue 6, 38(2025)

YOLO-DAP: An Improved YOLOv8 Anti-UAV Object Detection Algorithm

JIAO Lihao and CHENG Huanxin
Author Affiliations
  • School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266000, China
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    References(12)

    [5] [5] GIRSHICK R, DONAHUE J, DARRELL T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Columbus: IEEE,2014: 580-587.

    [6] [6] GIRSHICK R. Fast R-CNN[C]//Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV). Santiago: IEEE, 2015: 1440-1448.

    [7] [7] CAI Z, VASCONCELOS N. Cascade R-CNN: delving into high quality object detection[C]//Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). Salt Lake City: IEEE, 2018: 6154-6162.

    [8] [8] HE J, LIU M, YU C. UAV reaction detection based on multi-scale feature fusion[C]//Proceedings of the 2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML). Xi’an: IEEE, 2022: 640-643.

    [10] [10] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: unified, real-time object detection[C]//Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas: IEEE, 2016: 779-788.

    [11] [11] REDMON J, FARHADI A. YOLOv3: an incremental improvement[EB/OL]. (2018-04-08)[2024-05-09]. https://doi.org/10.48550/arXiv.1804.02767.

    [12] [12] LI C, LI L, JIANG H, et al. YOLOv6: a single-stage object detection framework for industrial applications[EB/OL]. (2022-09-07)[2024-05-09]. https://doi.org/10.48550/arXiv.2209.02976.

    [13] [13] LIU W, ANGUELOV D, ERHAN D, et al. SSD: single shot MultiBox detector[C]//Computer Vision-ECCV 2016. Cham: Springer, 2016: 21-37.

    [14] [14] ZHANG H, CHANG H, MA B, et al. Cascade RetinaNet: maintaining consistency for single-stage object detection[EB/OL]. (2019-07-16)[2024-05-09]. https://doi.org/10.48550/arXiv.1907.06881.

    [17] [17] WEI H, LIU X, XU S, et al. DWRSeg: rethinking efficient acquisition of multi-scale contextual information for real-time semantic segmentation[EB/OL]. (2023-09-13)[2024-05-09]. https://doi.org/10.48550/arXiv.2212.01173.

    [18] [18] WANG C Y, YEH I H, LIAO H Y M. YOLOv9: learning what you want to learn using programmable gradient information[C]//Computer Vision-ECCV 2024. Cham: Springer, 2024: 1-21.

    [19] [19] LIU C, WANG K, LI Q, et al. Powerful-IoU: more straight-forward and faster bounding box regression loss with a nonmonotonic focusing mechanism[J]. Neural Networks, 2024, 170: 276-284.

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    JIAO Lihao, CHENG Huanxin. YOLO-DAP: An Improved YOLOv8 Anti-UAV Object Detection Algorithm[J]. Electronics Optics & Control, 2025, 32(6): 38

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    Paper Information

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    Received: May. 9, 2024

    Accepted: Jun. 12, 2025

    Published Online: Jun. 12, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.06.006

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