EFFECT OF VARIOUS DIMENSION CONVOLUTIONAL LAYER FILTERS ON TRAFFIC SIGN CLASSIFICATION ACCURACY

EFFECT OF VARIOUS DIMENSION CONVOLUTIONAL LAYER FILTERS ON TRAFFIC SIGN CLASSIFICATION ACCURACY

The paper presents the study of an effective classification method for traffic signs on the basis of a convolutional neural network with various dimension filters. Every model of convolutional neural network has the same architecture but different dimension of filters for convolutional layer. The studie...

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Bibliographic Details
Main Authors: V. N. Sichkar, S. A. Kolyubin
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2019-01-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
traffic signs classification
convolutional neural network
convolutional layer filters
feature maps extraction
classification accuracy
Online Access:https://ntv.ifmo.ru/file/article/18674.pdf

Internet

https://ntv.ifmo.ru/file/article/18674.pdf

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