Laser & Optoelectronics Progress, Volume. 60, Issue 10, 1010010(2023)

Detection Algorithm of Recyclable Garbage Based on Improved YOLOv5s

Anneng Luo1, Haibin Wan1,2、*, Zhiwei Si1, and Tuanfa Qin1,2
Author Affiliations
  • 1School of Computer, Electronics and Information, Guangxi University, Nanning 530004, Guangxi , China
  • 2Guangxi Key Laboratory of Multimedia Communications and Network Technology, Nanning 530004, Guangxi , China
  • show less
    References(18)

    [1] 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, 39, 1137-1149(2017).

    [2] He K M, Gkioxari G, Dollar P et al. Mask R-CNN[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 386-397(2020).

    [6] Li J Y, Chen X L, Zhang A H et al. Survey of garbage classification methods based on deep learning[J]. Computer Engineering, 48, 1-9(2022).

    [8] Liu Q F. Research on intelligent garbage classification technology based on photoelectric image recognition[D](2021).

    [9] Li Z J, Yang S H, Shi D S et al. Yield estimation method of apple tree based on improved lightweight YOLOv5[J]. Smart Agriculture, 3, 100-114(2021).

    [10] Zheng Z H, Wang P, Liu W et al. Distance-IoU loss: faster and better learning for bounding box regression[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12993-13000(2020).

    [11] Zhang X Y, Zhou X Y, Lin M X et al. ShuffleNet: an extremely efficient convolutional neural network for mobile devices[C], 6848-6856(2018).

    [12] Ma N N, Zhang X Y, Zheng H T et al. ShuffleNet v2: practical guidelines for efficient CNN architecture design[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11218, 122-138(2018).

    [13] Chollet F. Xception: deep learning with depthwise separable convolutions[C], 1800-1807(2017).

    [15] Sandler M, Howard A, Zhu M L et al. MobileNetV2: inverted residuals and linear bottlenecks[C], 4510-4520(2018).

    [16] Howard A, Sandler M, Chen B et al. Searching for MobileNetV3[C], 1314-1324(2019).

    [17] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C], 936-944(2017).

    [18] Liu S, Qi L, Qin H F et al. Path aggregation network for instance segmentation[C], 8759-8768(2018).

    Tools

    Get Citation

    Copy Citation Text

    Anneng Luo, Haibin Wan, Zhiwei Si, Tuanfa Qin. Detection Algorithm of Recyclable Garbage Based on Improved YOLOv5s[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1010010

    Download Citation

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

    Category: Image Processing

    Received: Jan. 21, 2022

    Accepted: Mar. 1, 2022

    Published Online: May. 10, 2023

    The Author Email: Haibin Wan (hbwan@gxu.edu.cn)

    DOI:10.3788/LOP220603

    Topics