IEEE Transactions on Instrumentation and Measurement· 2019Q1
An End-to-End Steel Surface Defect Detection Approach via Fusing Multiple Hierarchical Features
- 1,281citations
- Q1SCImago
- 2019year
Short summary
A novel deep learning system fuses multiple hierarchical features from a CNN to improve steel surface defect classification and localization, achieving 74.8/82.3 mAP on the NEU-DET dataset.
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