Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 7, 900(2022)

Fire smoke detection combined with detailed features and hybrid attention mechanism

Rui-qing WANG, Hui-qin WANG*, and Ke WANG
Author Affiliations
  • College of Information and Control Engineering,Xi'an University of Architecture and Technology,Xi'an 710055,China
  • show less
    References(31)

    [10] KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[C], 1097-1105(2012).

    [17] REDMON J, FARHADI A. YoLOv3: an incremental improvement[J]. arXiv, 1804.02767(2018).

    [21] LI H G, YU R N, DING W R. Research development of small object traching based on deep learning[J]. Acta Aeronautica et Astronautica Sinica, 42, 024691(2021).

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

    [28] TAN M X, LE Q V. EfficientNet: rethinking model scaling for convolutional neural networks[C], 6105-6114(2019).

    Tools

    Get Citation

    Copy Citation Text

    Rui-qing WANG, Hui-qin WANG, Ke WANG. Fire smoke detection combined with detailed features and hybrid attention mechanism[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(7): 900

    Download Citation

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

    Category:

    Received: Dec. 14, 2021

    Accepted: --

    Published Online: Jul. 7, 2022

    The Author Email: Hui-qin WANG (hqwang@xauat.edu.cn)

    DOI:10.37188/CJLCD.2021-0325

    Topics