Conference paper

ŠPAŇHEL Jakub, SOCHOR Jakub and MAKAROV Aleksej. Vehicle Fine-grained Recognition Based on Convolutional Neural Networks for Real-world Applications. In: 2018 14th Symposium on Neural Networks and Applications (NEUREL). Belgrade: IEEE Signal Processing Society, 2018, pp. 1-5. ISBN 978-1-5386-6974-7.
Publication language:english
Original title:Vehicle Fine-grained Recognition Based on Convolutional Neural Networks for Real-world Applications
Title (cs):Rozpoznání modelů vozidel založené na neuronových sítí pro aplikaci v reálných podmínkách
Pages:1-5
Proceedings:2018 14th Symposium on Neural Networks and Applications (NEUREL)
Conference:2018 14th Symposium on Neural Networks and Applications (NEUREL)
Place:Belgrade, RS
Year:2018
ISBN:978-1-5386-6974-7
DOI:10.1109/NEUREL.2018.8587012
Publisher:IEEE Signal Processing Society
Keywords
convolutional neural networks, similar vehicle type search, vehicle fine-grained recognition, vehicle reidentification  
Annotation
We explore the implementation of vehicle
fine-grained type and color recognition based on neural
networks in a real-world application. We suggest changes to
the previously published method with respect to capabilities
of low-powered devices, such as Nvidia Jetson. Experimental
evaluation shows that the accuracy of MobileNet net slightly
decreases compared to ResNet-50 from 89.55% to 86.13%
while inference is 2.4× faster on Jetson.
BibTeX:
@INPROCEEDINGS{
   author = {Jakub {\v{S}}pa{\v{n}}hel and Jakub Sochor and
	Aleksej Makarov},
   title = {Vehicle Fine-grained Recognition Based on
	Convolutional Neural Networks for Real-world
	Applications},
   pages = {1--5},
   booktitle = {2018 14th Symposium on Neural Networks and Applications
	(NEUREL)},
   year = {2018},
   location = {Belgrade, RS},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-5386-6974-7},
   doi = {10.1109/NEUREL.2018.8587012},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=11851}
}

Your IPv4 address: 54.145.38.157