USAM trains small MLPs on SAM's mask and IoU tokens to estimate predictive, prompt, task, and model uncertainty, achieving strong selective-correction results at negligible computational overhead.
SAM - U : Multi -box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image
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UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
USAM trains small MLPs on SAM's mask and IoU tokens to estimate predictive, prompt, task, and model uncertainty, achieving strong selective-correction results at negligible computational overhead.