MobileCount: An efficient encoder-decoder framework for real-time crowd counting

In this work, we propose a computation-efficient encoder-decoder architecture, named MobileCount, which is specifically designed for high-accuracy real-time crowd counting on mobile or embedded devices with limited computation resources. For the encoder part, MobileNetV2 is tailored in order to sign...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 407; pp. 292 - 299
Main Authors:	Wang, Peng, Gao, Chenyu, Wang, Yang, Li, Hui, Gao, Ye
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 24.09.2020
Subjects:	Crowd counting Fully convolutional networks Knowledge distillation Light-weight Neural Networks Fully convolutional networks Light-weight Neural Networks Knowledge distillation Crowd counting
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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