Chinese Journal of Liquid Crystals and Displays, Volume. 36, Issue 11, 1516(2021)

Lightweight object detection algorithm based on multi-directional feature pyramid

BAI Chuang1,2, WANG Ying-jie1, YAN Yu1, and DJUKANOVIC Milena3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(14)

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    [5] [5] REN S Q, HE K M, GIRSHICK R, et al. Faster R-CNN: towards real-time object detection with region proposal networks [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(6): 1137-1149.

    [6] [6] LIN T Y, GOYAL P, GIRSHICK R, et al. Focal loss for dense object detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(2): 318-327.

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    [8] [8] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: unified, real-time object detection [C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas: IEEE, 2016: 779-788.

    [9] [9] REDMON J, FARHADI A. YOLO9000: better, faster, stronger [C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu: IEEE, 2017: 6517-6525.

    [10] [10] REDMON J, FARHADI A. YOLOv3: an incremental improvement [J]. arXiv: 1804.0276, 2018.

    [11] [11] LIN T Y, DOLLR P, GIRSHICK R, et al. Feature pyramid networks for object detection [C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu: IEEE, 2017.

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    [16] [16] BOCHKOVSKIY A, WANG C Y, LIAO H Y M. YOLOv4: optimal speed and accuracy of object detection [J]. arXiv: 2004.10934, 2020.

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    BAI Chuang, WANG Ying-jie, YAN Yu, DJUKANOVIC Milena. Lightweight object detection algorithm based on multi-directional feature pyramid[J]. Chinese Journal of Liquid Crystals and Displays, 2021, 36(11): 1516

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    Paper Information

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    Received: Jan. 23, 2021

    Accepted: --

    Published Online: Dec. 1, 2021

    The Author Email:

    DOI:10.37188/cjlcd.2021-0018

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