ViGLAD: Vision Graph Neural Networks for Logical Anomaly Detection
Quality inspection is an industrial field with a growing interest in anomaly detection research. An anomaly in an image can either be structural or logical. While structural anomalies lie on the image objects, challenging logical anomalies are hidden in the global relations between the image compone...
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| Main Authors: | Firas Zoghlami, Dena Bazazian, Giovanni L. Masala, Mario Gianni, Asiya Khan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10758311/ |
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