We propose a novel architecture and training objective specifically designed to upsample features from foundation vision encoders at any resolution.

The introduced TreeHFD algorithm estimates the Hoeffding or ANOVA functional decomposition of tree ensembles from a data sample, and therefore provides an efficient explainability method through a set of low dimensional functions.