Laser Journal, Volume. 45, Issue 3, 59(2024)

Based on the improved YOLOv5 lightweight tank target detection algorithm

MEI Likun, CHEN Zhili*, and LI Dongqi
Author Affiliations
  • [in Chinese]
  • show less
    References(5)

    [13] [13] Alexey Bochkovskiy , Chien - Yao Wang , and Hong - Yuan Mark Liao. " YOLOv4 : Optimal Speed and Accuracy of Ob- ject Detection ( v2 ) . " [ J ] . arXiv preprint arXiv : 2104. 04338 (2021) .

    [15] [15] Lin T Y , Dollar P , Girshick R , et al. Feature pyramid net- works for object detection [ C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017 : 2117-2125

    [20] [20] Srinivas , Siddharth , Francois Fleuret. " Layer aggregation for convolutional neural networks. " [ C]//In Proceedings of the IEEE Conference on Computer Vision and Pattern Rec- ognition , 2021 : 244-252.

    [21] [21] Zhang X , Zhou B L , Lin Z P , et al. ShuffleNet : An Ex- tremely Efficient Convolutional Neural Network for Mobile Devices [ C]//IEEE Conference on Computer Vision and Pattern Recognition ( CVPR) , 2018 :6848-6856.

    [22] [22] Yu J , Huang T. Run , Don't Walk : Chasing Higher FLOPS for Faster Neural Networks[J] . IEEE Transactions on Pat- tern Analysis and Machine Intelligence , 2019 , 42 ( 10) : 2406-2419.

    Tools

    Get Citation

    Copy Citation Text

    MEI Likun, CHEN Zhili, LI Dongqi. Based on the improved YOLOv5 lightweight tank target detection algorithm[J]. Laser Journal, 2024, 45(3): 59

    Download Citation

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

    Category:

    Received: Aug. 12, 2023

    Accepted: --

    Published Online: Oct. 15, 2024

    The Author Email: Zhili CHEN (medichen@163.com)

    DOI:10.14016/j.cnki.jgzz.2024.03.059

    Topics