MR-CNN: A Multi-Scale Region-Based Convolutional Neural Network for Small Traffic Sign Recognition

MR-CNN: A Multi-Scale Region-Based Convolutional Neural Network for Small Traffic Sign Recognition

Small traffic sign recognition is a challenging problem in computer vision, and its accuracy is important to the safety of intelligent transportation systems (ITS). In this paper, we propose the multi-scale region-based convolutional neural network (MR-CNN). At the detection stage, MR-CNN uses a mul...

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Bibliographic Details
Main Authors: Zhigang Liu, Juan Du, Feng Tian, Jiazheng Wen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Context
deconvolution
small traffic sign
Tsinghua-Tencent 100K
Online Access:https://ieeexplore.ieee.org/document/8701699/

Internet

https://ieeexplore.ieee.org/document/8701699/

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