Isaac Lyngaas

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.

Real-time user feedback can now directly optimize diffusion models for personalized recommendations, eliminating the need for extensive preference data.