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ApproxDet : content and contention-aware approximate obj..:

, In: Proceedings of the 18th Conference on Embedded Networked Sensor Systems,

Xu, Ran ; Zhang, Chen-lin ; Wang, Pengcheng... - p. 449-462 , 2020

Link: https://dl.acm.org/doi/10.1145/3384419.3431159

RT 
T1 <cTitle>Proceedings of the 18th Conference on Embedded Networked Sensor Systems</cTitle>: T1 <Title>ApproxDet				: content and contention-aware approximate object detection for mobiles</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3431159&Exemplar=1&LAN=DE
				
A1 Xu, Ran
A1 Zhang, Chen-lin
A1 Wang, Pengcheng
A1 Lee, Jayoung
A1 Mitra, Subrata
A1 Chaterji, Somali
A1 Li, Yin
A1 Bagchi, Saurabh
PB ACM
YR 2020
K1 approximate computing
K1 machine learning
K1 mobile vision
K1 object detection
K1 resource contention
K1 Human-centered computing
K1 Ubiquitous and mobile computing
K1 Ubiquitous and mobile computing systems and tools
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision problems
K1 Object detection
K1 Tracking
SP 449
OP 462
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3384419.3431159
DO https://dl.acm.org/doi/10.1145/3384419.3431159
SF ELIB - SuUB Bremen

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