Amanote Research

Amanote Research

    RegisterSign In

Convolutional Neural Networks for Croatian Traffic Signs Recognition

doi 10.20532/ccvw.2014.0016
Full Text
Open PDF
Abstract

Available in full text

Date

September 30, 2014

Authors
Vedran VukotićJosip KrapacSiniša Šegvić
Publisher

University of Zagreb Faculty of Electrical Engineering and Computing


Related search

Speech Recognition Using Convolutional Neural Networks

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

Traffic Sign Recognition With Multi-Scale Convolutional Networks

2011English

Human Action Recognition Based on Convolutional Neural Networks With a Convolutional Auto-Encoder

2016English

Recognition of Supplementary Signs for Correct Interpretation of Traffic Signs

2013English

Recognition of Supplementary Signs for Correct Interpretation of Traffic Signs

2013English

Individual Minke Whale Recognition Using Deep Learning Convolutional Neural Networks

Journal of Geoscience and Environment Protection
2018English

Image Recognition by Convolutional Neural Networks With Using Keras Library

Mining Journal of Kryvyi Rih National University
2018English

Traffic Sign Recognition and Localization for Databases of Traffic Signs

Acta Electrotechnica et Informatica
2011English

Recursive Convolutional Neural Networks for Epigenomics

2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy