Amanote Research

Amanote Research

    RegisterSign In

Traffic Sign Recognition With Multi-Scale Convolutional Networks

doi 10.1109/ijcnn.2011.6033589
Full Text
Open PDF
Abstract

Available in full text

Date

July 1, 2011

Authors
Pierre SermanetYann LeCun
Publisher

IEEE


Related search

Efficent Traffic-Sign Recognition With Scale-Aware CNN

2017English

Convolutional Neural Networks for Croatian Traffic Signs Recognition

2014English

Traffic Sign Recognition

International Journal of Trend in Scientific Research and Development
2018English

Monaural Multi-Talker Speech Recognition With Attention Mechanism and Gated Convolutional Networks

2018English

Phone Recognition With Hierarchical Convolutional Deep Maxout Networks

Eurasip Journal on Audio, Speech, and Music Processing
AcousticsUltrasonicsElectricalElectronic Engineering
2015English

Traffic Sign Recognition and Localization for Databases of Traffic Signs

Acta Electrotechnica et Informatica
2011English

Traffic Sign Recognition Using Discriminative Local Features

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
English

Speech Recognition Using Convolutional Neural Networks

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

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

2016English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy