研究论文
Deep learning-based road damage detection and classification for multiple countries
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mráz, Takehiro Kashiyama, Yoshihide Sekimoto
Indian Institute of Technology Roorkee The University of Tokyo
来源Automation in Construction
年份2021
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逐年被引趋势
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302
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21.68
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学术脉络
学科主题
工程Infrastructure Maintenance and Monitoring
Asphalt Pavement Performance Evaluation · Geophysical Methods and Applications
参考文献 122
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
被引 55,331Shaoqing Ren, Kaiming He, Ross Girshick · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016
Fast R-CNN
被引 28,305Ross Girshick · 2015
此处列出前 3 条
引用本文 302
BL-YOLOv8: An Improved Road Defect Detection Model Based on YOLOv8
被引 302Xueqiu Wang, Huanbing Gao, Zemeng Jia · Sensors · 2023
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism
被引 258Arunabha M. Roy, Jayabrata Bhaduri · Advanced Engineering Informatics · 2023
RDD2020: An annotated image dataset for automatic road damage detection using deep learning
被引 228Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh · Data in Brief · 2021
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