Detail výsledku

Vehicle Fine-grained Recognition Based on Convolutional Neural Networks for Real-world Applications

ŠPAŇHEL, J.; SOCHOR, J.; MAKAROV, A. 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. p. 1-5. ISBN: 978-1-5386-6974-7.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Špaňhel Jakub, Ing., Ph.D., UPGM (FIT)
Sochor Jakub, Ing., Ph.D.
MAKAROV, A.
Abstrakt

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.

Klíčová slova

convolutional neural networks, similar vehicle type search, vehicle fine-grained recognition, vehicle reidentification  

Rok
2018
Strany
1–5
Sborník
2018 14th Symposium on Neural Networks and Applications (NEUREL)
Konference
2018 14th Symposium on Neural Networks and Applications (NEUREL)
ISBN
978-1-5386-6974-7
Vydavatel
IEEE Signal Processing Society
Místo
Belgrade
DOI
UT WoS
000457745100031
EID Scopus
BibTeX
@inproceedings{BUT155107,
  author="ŠPAŇHEL, J. and SOCHOR, J. and MAKAROV, A.",
  title="Vehicle Fine-grained Recognition Based on Convolutional Neural Networks for Real-world Applications",
  booktitle="2018 14th Symposium on Neural Networks and Applications (NEUREL)",
  year="2018",
  pages="1--5",
  publisher="IEEE Signal Processing Society",
  address="Belgrade",
  doi="10.1109/NEUREL.2018.8587012",
  isbn="978-1-5386-6974-7"
}
Projekty
iARTIST - industry-Academia Research on Three-dimensional Image Sensing for Transportation, EU, Seventh Research Framework Programme, zahájení: 2017-10-01, ukončení: 2018-01-31, ukončen
Pracoviště
Nahoru