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YOLOX-based fast and lightweight single-class object detect..:
, In:
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
,
Lee, Jiwon
;
Lee, Byunggyu
;
Jung, Sung-Uk
- p. 1635-1638 , 2022
Link:
https://doi.org/10.1109/ICTC55196.2022.9952952
RT T1 <cTitle>2022 13th International Conference on Information and Communication Technology Convergence (ICTC)</cTitle>: T1 <Title>YOLOX-based fast and lightweight single-class object detector</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9952952&Exemplar=1&LAN=DE A1 Lee, Jiwon A1 Lee, Byunggyu A1 Jung, Sung-Uk YR 2022 SN 2162-1241 K1 Training K1 Detectors K1 Object detection K1 Mobile applications K1 Information and communication technology K1 Tuning K1 License plate recognition K1 Single-class object detection K1 Fast object detector K1 Lightweight object detector K1 Modified YOLOX SP 1635 OP 1638 LK http://dx.doi.org/https://doi.org/10.1109/ICTC55196.2022.9952952 DO https://doi.org/10.1109/ICTC55196.2022.9952952 SF ELIB - SuUB Bremen
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