Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities

1 Nov 2018Matthias RottmannPascal CollingThomas-Paul HackRobin ChanFabian HügerPeter SchlichtHanno Gottschalk

We present a method that "meta" classifies whether seg-ments predicted by a semantic segmentation neural networkintersect with the ground truth. For this purpose, we employ measures of dispersion for predicted pixel-wise class probability distributions, like classification entropy, that yield heat maps of the input scene's size... (read more)

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