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An improved YOLOX approach for low-light and small object d..:
Wang, Zijian
;
Cai, Zixiang
;
Wu, Yimin
Journal of Computational Design and Engineering. 10 (2023) 3 - p. 1158-1175 , 2023
Link:
https://doi.org/10.1093/jcde/qwad042
RT Journal T1 <Title>An improved YOLOX approach for low-light and small object detection: PPE on tunnel construction sites</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_jcde_qwad042&Exemplar=1&LAN=DE A1 Wang, Zijian A1 Cai, Zixiang A1 Wu, Yimin PB Oxford University Press (OUP) YR 2023 SN 2288-5048 JF Journal of Computational Design and Engineering VO 10 IS 3 SP 1158 OP 1175 LK http://dx.doi.org/https://doi.org/10.1093/jcde/qwad042 DO https://doi.org/10.1093/jcde/qwad042 SF ELIB - SuUB Bremen
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