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Oak Ridge National Laboratory
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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.
