article·Expert Systems with Applications·Jan 10, 2025Closed access

Precision and speed: LSOD-YOLO for lightweight small object detection

HWHezheng WangJLJiahui LiuJZJian ZhaoCorresponding authorJZJianzhong ZhangDZDong ZhaoCorresponding author

Beijing Forestry University · State Forestry and Grassland Administration

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

52
total citations
FWCI
51.68
Percentile
100%
References
57
Citations per year

Authors

5
  • HW
    Hezheng Wang

    Beijing Forestry University

  • JL
    Jiahui Liu

    Beijing Forestry University

  • JZ
    Jian ZhaoCorresponding

    Beijing Forestry University, State Forestry and Grassland Administration

  • JZ
    Jianzhong Zhang

    Beijing Forestry University

  • DZ
    Dong ZhaoCorresponding

    Beijing Forestry University

Topics & keywords

Topics
  • Primary topicAdvanced Neural Network Applications100%
  • Industrial Vision Systems and Defect Detection99%
  • CCD and CMOS Imaging Sensors99%
Keywords
  • Computer science
  • Object detection
  • Computer vision
  • Artificial intelligence
  • Object (grammar)
  • Pattern recognition (psychology)
No related works found for this paper.

Funding

  • FR
    Fundamental Research Funds for the Central Universities
    Award: 2021ZY67
  • FR
    Fundamental Research Funds for Central Universities of the Central South University
    Award: BLX202226