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Attention Network for Rail Surface Defect Detection via Consistency of Intersection-over-Union(IoU)-Guided Center-Point Estimation

IEEE Transactions on Industrial Informatics(2022)

Cited 37|Views24
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Abstract
Rail surface defect inspection based on machine vision faces challenges against the complex background with interference and severe data imbalance. To meet these challenges, in this article, we regard defect detection as a key-point estimation problem and present the proposed attention neural network for rail surface defect detection via consistency of Intersection-over-Union(IoU)-guided center-po...
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Key words
Rails,Feature extraction,Inspection,Estimation,Informatics,Rail transportation,Surface morphology
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