Abstract
In recent years, the surface defect detection method based on deep learning has become a popular research topic. This article will summarize the methods in recent years, including the Convolutional neural network, which is the mainstream one, Deep confidence network, fully convolutional neural network, and Self-coding neural network. This article will also analyse the advantages and disadvantages of various methods.
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Poxi, H., Chen, W., Gao, J. (2023). Overview of Surface Defect Detection Methods Based on Deep Learning. In: Wang, Y., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XII. IWAMA 2022. Lecture Notes in Electrical Engineering, vol 994. Springer, Singapore. https://doi.org/10.1007/978-981-19-9338-1_16
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DOI: https://doi.org/10.1007/978-981-19-9338-1_16
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