ProSAM improves SAM-based visual reference segmentation by learning a Student-t prompt distribution through noise injection, beating VRP-SAM by about one mIoU point on Pascal-5^i and COCO-20^i.
Vari- ational inference: A review for statisticians
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ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts
ProSAM improves SAM-based visual reference segmentation by learning a Student-t prompt distribution through noise injection, beating VRP-SAM by about one mIoU point on Pascal-5^i and COCO-20^i.