Country-specific Ensemble Learning: A Deep Learning Approach for Road Damage Detection-Reference-Cited by-同舟云学术

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Country-specific Ensemble Learning: A Deep Learning Approach for Road Damage Detection

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
language:
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Author:

Bhavsar Maitry¹,Alfarrarjeh Abdullah²,Baranwal Utkarsh³,Kim Seon Ho³

Affiliation:

1. Indian Institute of Technology,Department of Computer Science,Patna,Bihar,India,801106

2. German Jordanian University,Department of Computer Science,Amman,Jordan

3. University of Southern California,Integrated Media Systems Center,Los Angeles,CA,USA,90089

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020799.pdf?arnumber=10020799

Reference32 articles.

1. Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep-Learning Network

2. RDD2020: An annotated image dataset for automatic road damage detection using deep learning

3. A Fast and Adaptive Road Defect Detection Approach Using Computer Vision with Real Time Implementation

4. Road crack detection using deep convolutional neural network

5. Microsoft coco: Common objects in context;lin;European Conference on Computer Vision,2014

Cited by 6 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. Research on Monitoring Road Surface Anomalies Using an IoT-Based Automatic Detection System: Case Study in Taiwan;IEEE Transactions on Industrial Informatics;2024-09

2. RDD2022: A multi‐national image dataset for automatic road damage detection;Geoscience Data Journal;2024-06-26

3. A Review of Deep Learning Advancements in Road Analysis for Autonomous Driving;Applied Sciences;2024-05-30

4. StreetLens;Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ;2024-04-15

5. From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection;Advanced Engineering Informatics;2024-04

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