## Introduction
In the realm of industrial quality assurance, the ability to detect visual anomalies plays a pivotal role in maintaining product integrity and minimizing waste. As technology evolves, the demand for automatic visual anomaly detection systems has surged, prompting industries to explore effective methodologies for model selection. A crucial question arises: should one learn from defects or from normality? This article delves into this dilemma, comparing two distinct approaches to...
## Introduction
In the realm of industrial quality assurance, the ability to detect visual anomalies plays a pivotal role in maintaining product integrity and minimizing waste. As technology evolves, the demand for automatic visual anomaly detection systems has surged, prompting industries to explore effective methodologies for model selection. A crucial question arises: should one learn from defects or from normality? This article delves into this dilemma, comparing two distinct approaches to...
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