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VRP-SAM: SAM with Visual Reference Prompt
Feb. 28, 2024, 5:46 a.m. | Yanpeng Sun, Jiahui Chen, Shan Zhang, Xinyu Zhang, Qiang Chen, Gang Zhang, Errui Ding, Jingdong Wang, Zechao Li
cs.CV updates on arXiv.org arxiv.org
Abstract: In this paper, we propose a novel Visual Reference Prompt (VRP) encoder that empowers the Segment Anything Model (SAM) to utilize annotated reference images as prompts for segmentation, creating the VRP-SAM model. In essence, VRP-SAM can utilize annotated reference images to comprehend specific objects and perform segmentation of specific objects in target image. It is note that the VRP encoder can support a variety of annotation formats for reference images, including \textbf{point}, \textbf{box}, \textbf{scribble}, and …
abstract arxiv cs.cv encoder images novel objects paper prompt prompts reference sam segment segment anything segment anything model segmentation type visual
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