For phenology-separated classes like crop types, Tessera embeddings achieve 46% better performance than the best from-scratch models

Where classes are separated by phenology, as for the crop types of PASTIS-R, they reach a mean Intersection-over-Union of $58.3$, about $46\%$ above the best from-scratch model.

http://arxiv.org/abs/2608.27175v1