Classification and Fast Few-Shot Learning of Steel Surface Defects with Randomized Network
Quality inspection is inevitable in the steel industry so there are already benchmark datasets for the visual inspection of steel surface defects. In our work, we show, contrary to previous recent articles, that a generic state-of-art deep neural network is capable of almost-perfect classification o...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/8/3967 |