Journal of Terahertz Science and Electronic Information Technology , Volume. 20, Issue 8, 810(2022)

Detection of prohibited objects in passive terahertz images based on Focal-EIOU loss function

ZHOU Min*
Author Affiliations
  • [in Chinese]
  • show less
    References(5)

    [4] [4] SANG J, GUO P, XIANG Z, et al. Vehicle detection based on faster-RCNN[J]. Journal of Chongqing University, 2017, 40(7): 32-36.

    [9] [9] SHORTEN C,KHOSHGOFTAAR T M. A survey on image data augmentation for deep learning[J]. Journal of Big Data, 2019,6(1): 1-48.

    [10] [10] CHETHAN K B,PUNITHA R,MOHANA M. YOLOv3 and YOLOv4:multiple object detection for surveillance applications[C]// 2020 Third International Conference on Smart Systems and Inventive Technology(ICSSIT). Tirunelveli,India:IEEE, 2020.

    [11] [11] ZHENG Z H,WANG P,LIU W,et al. Distance-IOU loss:faster and better learning for bounding box regression[C]// Proceedings of the AAAI Conference on Artificial Intelligence. New York,USA:AAAI, 2020:12993-13000.

    [12] [12] ZHANG Y F, REN W, ZHANG Z, et al. Focal and efficient IOU loss for accurate bounding box regression[J/OL]. arXiv: 2101.08158v1.

    Tools

    Get Citation

    Copy Citation Text

    ZHOU Min. Detection of prohibited objects in passive terahertz images based on Focal-EIOU loss function[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(8): 810

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Jul. 2, 2021

    Accepted: --

    Published Online: Aug. 30, 2022

    The Author Email: Min ZHOU (zhoumin@crdc.com)

    DOI:10.11805/tkyda2021269

    Topics