PB-YOLO for Railway Fastener Detection: A Higher Accuracy and Lightweight Model With PConv and BiFPN-Reference-Cited by-同舟云学术

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PB-YOLO for Railway Fastener Detection: A Higher Accuracy and Lightweight Model With PConv and BiFPN

Published:2023-10-12 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou)
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Author:

Zhao Honghui¹,Wu Yunpeng²,Qin Yong¹,Shao Changhong³,Zhu Xingsheng⁴

Affiliation:

1. School of Safety Engineering and Emergency Management, Shijiazhuang Tiedao University,Shijiazhuang,China,050043

2. Beijing Jiaotong University,State Key Laboratory of Advanced Rail Autonomous Operation,Beijing,People's Republic of China

3. Vice Chairman of Beijing-Shanghai High Speed Railway Company Ltd.,Beijing,People's Republic of China

4. Senior Engineer of Beijing-Shanghai High Speed Railway Company Ltd.,Beijing,People's Republic of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10482420/10482375/10482539.pdf?arnumber=10482539

Reference30 articles.

1. Face Detection with the Faster R-CNN

2. Scale-aware Fast R-CNN for Pedestrian Detection

3. S^3FD: Single Shot Scale-Invariant Face Detector

4. A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector

5. Apple detection during different growth stages in orchards using the improved YOLO-V3 model

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