PaDiM: a Patch Distribution Modeling Framework for …
training dataset. The normal reference can be the center of a n-sphere containing embeddings from normal images [4], [22], parameters of Gaussian distributions [23], [26] or the entire set of normal embedding vectors [5], [24]. The last option is used by SPADE [5] which has the best reported results for anomaly localization.
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