Symmetry-Driven Unsupervised Abnormal Object Detection for Railway Inspection-Reference-Cited by-同舟云学术

Symmetry-Driven Unsupervised Abnormal Object Detection for Railway Inspection

Author:

Yang Taocun¹^ORCID,Liu Yuming²,Huang Yaping¹^ORCID,Liu Junbo³,Wang Shengchun³^ORCID

Affiliation:

1. Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China

2. Innovation Centre for Science and Technology, Shenzhen Urban Transport Planning Center Company Co., Ltd, Shenzhen, China

3. Infrastructure Inspector Center, China Academy of Railway Science Corporation Limited, Beijing, China

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Fundamental Research Funds for the Central Universities

Key Research and Development Project of China Academy of Railway Sciences Corporation Limited

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference37 articles.

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