Manhattan Correlation Attention Network for Metal Part Anomaly Classification
Abnormal classification of metal components plays an important role in industrial product manufacturing. However, it is difficult to detect metal anomalies due to the following issues: 1) Some defects of metal parts areas are small; 2) The abnormal metal regions are relatively similar to the normal...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10967525/ |
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