Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1815004(2022)

Convolutional Neural Network Method for Crowd Counting Improved using Involution Operator

Zhaoxin Li, Shuhua Lu*, Lingqiang Lan, and Qiyuan Liu
Author Affiliations
  • College of Information and Cyber Security, People’s Public Security University of China, Beijing 102600, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (7)
    Equations (7)
    References (34)
    Cited By (1)
    Tools
    Paper Information
    Topics
    Cited By

    Article index updated: Sep. 9, 2025

    The article is cited by 1 article(s) CLP online library. (Some content might be in Chinese.)
    Tools

    Get Citation

    Copy Citation Text

    Zhaoxin Li, Shuhua Lu, Lingqiang Lan, Qiyuan Liu. Convolutional Neural Network Method for Crowd Counting Improved using Involution Operator[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1815004

    Download Citation

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

    Category: Machine Vision

    Received: Jun. 21, 2021

    Accepted: Jul. 20, 2021

    Published Online: Aug. 29, 2022

    The Author Email: Shuhua Lu (lushuhua@ppsuc.edu.cn)

    DOI:10.3788/LOP202259.1815004

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology