Defect Detection Method Based on Knowledge Distillation
Aiming at the problem that traditional surface detection is easily affected by complex industrial environments and cannot extract effective features, a deep learning-based knowledge distillation anomaly detection model is proposed. Firstly, a pre-trained teacher network was used to transfer knowledg...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10058954/ |