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1
BED: A Real-Time Object Detection System for Edge Devices:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Wang, Guanchu
;
Bhat, Zaid Pervaiz
;
Jiang, Zhimeng
... - p. 4994-4998 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557168
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>BED: A Real-Time Object Detection System for Edge Devices</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557168&Exemplar=1&LAN=DE A1 Wang, Guanchu A1 Bhat, Zaid Pervaiz A1 Jiang, Zhimeng A1 Chen, Yi-Wei A1 Zha, Daochen A1 Reyes, Alfredo Costilla A1 Niktash, Afshin A1 Ulkar, Gorkem A1 Okman, Erman A1 Cai, Xuanting A1 Hu, Xia PB ACM YR 2022 K1 edge device K1 object detection K1 real-time system K1 Information systems K1 Information systems applications K1 Mobile information processing systems K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms SP 4994 OP 4998 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557168 DO https://dl.acm.org/doi/10.1145/3511808.3557168 SF ELIB - SuUB Bremen
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