Robust Autoencoders separate the input image into a Signal(L) and a Noise(S) part which. intuitively speaking. roughly corresponds to a more stable background scene (L) and an undesired anomaly (or defect) (S). This property of the method provides a convenient theoretical basis for divorcing intermittent anomalies that happen to clutter a relatively consistent background image. https://danddcollectiblers.shop/product-category/butter-dishes/
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