Traffic Sign Recognition Using an Attentive Context Region‐Based Detection Framework

Author:

Zhigang LIU12,Juan DU1,Feng TIAN1,Jiazheng WEN3

Affiliation:

1. School of Computer and Information Technology, Northeast Petroleum UniversityDaqing163318China

2. Postdoctoral Workstation on Applied Technology Research Institute, Northeast Petroleum UniversityDaqing163318China

3. Department of Computer Science for Artificial IntelligenceUniversity of Nottingham NingboNingbo315100China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Reference23 articles.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Traffic Sign Recognition Method Based on Improved VGGNet Model;2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR);2023-12-08

2. Dynamic Local and Global Context Exploration for Small Object Detection;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. Novel real-time safety algorithm for predicting multi-targets in the farmland road;International Journal of Agricultural and Biological Engineering;2023

4. RD-YOLO: An Effective and Efficient Object Detector for Roadside Perception System;Sensors;2022-10-22

5. Traffic Sign Detection Based on SSD Combined with Receptive Field Module and Path Aggregation Network;Computational Intelligence and Neuroscience;2022-05-30

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