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Synthetic data can overcome data scarcity and textureless challenges to enable surprisingly accurate surgical instrument pose estimation from RGB images alone.
Force your VLMs to *show their work*: Saliency-R1 aligns model attention with human-annotated visual cues, boosting faithfulness and interpretability without extra compute.
Surgical AI gets a major data boost: Surg$危$ unifies millions of surgical conversations with multimodal annotations, paving the way for more generalizable and interpretable models.
