SAMAug: Point Prompt Augmentation for Segment Anything Model

arXiv:2307.01187v3 Announce Type: replace
Abstract: This paper introduces SAMAug, a novel visual point augmentation method for the Segment Anything Model (SAM) that enhances interactive image segmentation performance. SAMAug generates augmented point prompts to provide more information about the user's intention to SAM. Starting with an initial point prompt, SAM produces an initial mask, which is then fed into our proposed SAMAug to generate augmented point prompts. By incorporating these extra points, SAM can generate augmented segmentation masks based on both …

abstract arxiv augmentation cs.ai cs.cv image information interactive novel paper performance prompt prompts sam segment segment anything segment anything model segmentation type visual