METHOD AND APPARATUS WITH OPTIMIZATION AND PREDICTION FOR IMAGE SEGMENTATION
Abstract:
A processor-implemented method includes: determining a probability that a pixel of an input image belongs to each of a plurality of preset categories; and determining a category of the pixel to be a category corresponding to either one or both of a plurality of category areas and a category determined based on the probability that the pixel belongs to each of the preset categories, based on a result of comparing, to a preset threshold value, a probability that the pixel belongs to the category corresponding to the category areas.
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