Preprint
Sep 2026
DynEoMT: Learning Object Dynamicity from Online Segmentation Queries
Results show that segmentation-region dynamicity can be learned from propagated queries, enabling its online prediction without a dedicated motion-processing pipeline at inference, and shows that segmentation-region dynamicity can be learned from propagate queries.
Calvin Galagain, Martyna Poreba, François Goulette
· 0 citations