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FINO was test across four different domains: protein-localization microscopy (HPA), Earth observation (FMoW), wildlife camera traps (iWildCam), and chest X-rays (MIMIC-CXR). In all cases, FINO beats both unsupervised domain adaptation and fully supervised fine-tuning, and even heavily engineered, domain-specific SOTA models. Just finetuning DINOv3 or even continually pretraining DINOv3 on the target dataset doesn't reliably give gains on performance but FINO does!
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