A Deep-Learning-Powered Near-Real-Time Detection of Railway Track Major Components: A Two-Stage Computer-Vision-Based Method
Author:
Affiliation:
1. School of Cyber Science and Engineering, Southeast University, Nanjing, China
2. School of Data Science, City University of Hong Kong, Hong Kong
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/9899827/09743400.pdf?arnumber=9743400
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1. Mask R-CNN
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4. Deep Multitask Learning for Railway Track Inspection
5. YOLOv3: An incremental improvement;redmon;arXiv 1804 02767,2018
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