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IEEE/ICACT20260190 Slide.13        [Big Slide]	Oral Presentation
	To summarize our experimental findings upfront: the experiment utilized the VisA dataset, specifically focusing on three PCB subsets. We conducted a comparative performance analysis between the Dinomaly and PaDiM models. The evaluation focused on the F1-score as the primary metric, and a key goal was to minimize false negatives, as missed defects represent a direct quality risk. The Dinomaly model achieved an impressive average F1-score of 98.8 percent, outperforming the PaDiM model by 17.5 percent on PCB Type number 2.

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