Instance contrastive learning with dynamic weighted variance for small sample steel defect recognition
Abstract As an essential element in industrial steel, automatic defect recognition can guarantee the surface quality through focused supervised learning with ample labelled samples. However, defect recognition inevitably features with data‐limiting characteristic under the influence of costly expert...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Electronics Letters |
| Online Access: | https://doi.org/10.1049/ell2.12361 |