SEAD: Segment Element-Based Anomaly Detection
Anomaly detection in images is crucial for the quality control process in manufacturing. Existing anomaly detection methods have achieved high accuracy on many public datasets, which typically include structural anomalies that affect part of the image. However, in real-world scenarios, in addition t...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10807229/ |
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