Multi-filter concept-vector fitting (Net2Vec)

Fits a concept's encoding as a learned linear combination of multiple CNN filter-activation maps (a weight vector over filters), rather than searching for the single best-aligned filter, then validates the fit via segmentation-mask overlap (IoU) against the concept's ground-truth spatial extent.