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Visual Anomaly Synthesis for Model Selection in Data Scarcity

Pröll, Daniel et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Defect detection systems for industrial condition monitoring can only be relied upon if they are validated, yet defective samples are rare and, for a specific asset, often nonexistent. We present a framework that synthesizes severity-graded defects on real non-defective images without any defect ref
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