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Surface Defect Detection Using U-net and transfer learning

2020 13th International Conference on Intelligent Computation Technology and Automation (ICICTA)(2020)

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Abstract
In the process of strip production, it is easy to produce various defects, which affect the quality of steel. Therefore, there are many researchers studying how to use machine vision to solve this problem. However, the accuracy of traditional machine learning based methods is not high. In this paper, a method based on U-net and transfer learning is proposed. First, extend the dataset using data au...
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Key words
Strips,Automation,Fuses,Convolution,Computational modeling,Transfer learning,Object segmentation
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