Semi-supervised Rail Defect Detection from Imbalanced Image Data
نویسندگان
چکیده
منابع مشابه
Semi-supervised Rail Defect Detection from Imbalanced Image Data
Rail defect detection by video cameras has recently gained much attention in both academia and industry. Rail image data has two properties. It is highly imbalanced towards the non-defective class and it has a large number of unlabeled data samples available for semisupervised learning techniques. In this paper we investigate if positive defective candidates selected from the unlabeled data can...
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ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2016
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2016.07.014