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Keywords: Deep convolutional neural network
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Journal Articles
Journal:
Railway Sciences
Railway Sciences (2022) 1 (2): 210–223.
Published: 03 May 2022
... fastener regions in the track images of multi railways, but also can automatically collect and annotate fastener samples. Secondly, a fastener defect recognition method based on deep convolutional neural network was proposed. The structure of recognition network was designed according to the smaller size...
