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  • Lessons from Collecting a Million Biometric Samples
    收集百万份生物识别样本的经验教训

    P Jonathon Phillips,Patrick J Flynn,Kevin W Bowyer

    Image and vision computing. 2017 Feb:58:10.1016/j.imavis.2016.08.004. DOI:10.1016/j.imavis.2016.08.004

  • A survey on computer vision based human analysis in the COVID-19 era
    基于计算机视觉的COVID-19时代人物分析研究综述

    Fevziye Irem Eyiokur,Alperen Kantarcı,Mustafa Ekrem Erakın et al.

    Image and vision computing. 2023 Feb:130:104610. DOI:10.1016/j.imavis.2022.104610

  • Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children
    用于儿童大规模动态和自发性面部行为分析的渐近式浅层网络

    Abdul Qayyum,Imran Razzak,Nour Moustafa et al.

    Image and vision computing. 2022 Mar:119:104375. DOI:10.1016/j.imavis.2022.104375

  • FMD-Yolo: An efficient face mask detection method for COVID-19 prevention and control in public
    FMD-YOLO:一种用于COVID-19公共预防和控制的口罩检测方法

    Peishu Wu,Han Li,Nianyin Zeng et al.

    Image and vision computing. 2022 Jan:117:104341. DOI:10.1016/j.imavis.2021.104341

  • Postnatal gestational age estimation of newborns using Small Sample Deep Learning

    Mercedes Torres Torres,Michel Valstar,Caroline Henry et al.

    Image and vision computing. 2019 Mar-Apr:83-84:87-99. DOI:10.1016/j.imavis.2018.09.003

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