Figure 1. Different sematic segmentation paradigms: (a-b) para- metric vs (c) nonparametric. Modern segmentation solutions, no matter using (a) parametric softmax or (b) query vectors for mask decoding,canbeviewedaslearnableprototypebasedmethodsthat learn class-wise prototypes in a fully parametric manner. We in- steadproposeanonparametricscheme(c)thatdirectlyselectssub- clustercentersofembeddedpixelsasprototypes,andachievesper- pixel prediction via nonparametric nearest prototype retrieving.