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. 57, Issue 12, 121013(2020)

Research on Target Detection and Feasible Region Segmentation Based on Deep Learning

Likai Li1, Chihua Lu1,2, and Bin Zou1,2、*
Author Affiliations
  • 1Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, Hubei 430070, China
  • 2Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan, Hubei 430070, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
    Equations (0)
    References (17)
    Cited By (6)
    Tools
    Paper Information
    Topics
    Cited By

    Article index updated:May. 20, 2024

    Citation counts are provided from Researching.
    The article is cited by 6 article(s) from Researching.
    Tools

    Get Citation

    Copy Citation Text

    Likai Li, Chihua Lu, Bin Zou. Research on Target Detection and Feasible Region Segmentation Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121013

    Download Citation

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

    Category: Image Processing

    Received: Sep. 5, 2019

    Accepted: Nov. 2, 2019

    Published Online: Jun. 3, 2020

    The Author Email: Zou Bin (zbegn@qq.com)

    DOI:10.3788/LOP57.121013

    Topics

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