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Small Traffic Sign Detection Through Selective Feature Fusi..:

, In: Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science,

Li, Site ; Gu, Yang ; Song, Zhichao... - p. 1-9 , 2019

Link: https://dl.acm.org/doi/10.1145/3357000.3366142

RT 
T1 <cTitle>Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science</cTitle>: T1 <Title>Small Traffic Sign Detection Through Selective Feature Fusion Based Faster R-CNN With Arc-Softmax Loss</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3366142&Exemplar=1&LAN=DE
				
A1 Li, Site
A1 Gu, Yang
A1 Song, Zhichao
A1 Xing, Tengfei
A1 Meng, Yiping
A1 Xu, Pengfei
A1 Hu, Runbo
A1 Zhang, Tiancheng
A1 Yu, Ge
A1 Chai, Hua
PB ACM
YR 2019
K1 map updates
K1 object detection
K1 traffic sign
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision problems
K1 Object detection
K1 Information systems
K1 Information systems applications
K1 Spatial-temporal systems
K1 Geographic information systems
K1 Computer systems organization
K1 Architectures
K1 Other architectures
K1 Neural networks
SP 1
OP 9
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3357000.3366142
DO https://dl.acm.org/doi/10.1145/3357000.3366142
SF ELIB - SuUB Bremen

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