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PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
April 24, 2024, 4:45 a.m. | Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz
cs.CV updates on arXiv.org arxiv.org
Abstract: In this paper, we present PRISM, a Promptable and Robust Interactive Segmentation Model, aiming for precise segmentation of 3D medical images. PRISM accepts various visual inputs, including points, boxes, and scribbles as sparse prompts, as well as masks as dense prompts. Specifically, PRISM is designed with four principles to achieve robustness: (1) Iterative learning. The model produces segmentations by using visual prompts from previous iterations to achieve progressive improvement. (2) Confidence learning. PRISM employs multiple …
arxiv cs.cv interactive prompts robust segmentation type visual
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