Junlin Guo

Off-the-shelf vision foundation models fail to transfer dense representations to scientific imagery, but scaling in-domain self-supervised pretraining across 10 million tiles delivers an immediate 7-point Dice improvement under severe annotation limits.

Unlock instance segmentation from semantic masks alone with MORI-Seg, which learns morphological geometry to disentangle touching objects without instance-level annotations.