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Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts
April 2, 2024, 7:47 p.m. | Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer
cs.CV updates on arXiv.org arxiv.org
Abstract: The goal of interactive image segmentation is to delineate specific regions within an image via visual or language prompts. Low-latency and high-quality interactive segmentation with diverse prompts remain challenging for existing specialist and generalist models. Specialist models, with their limited prompts and task-specific designs, experience high latency because the image must be recomputed every time the prompt is updated, due to the joint encoding of image and visual prompts. Generalist models, exemplified by the Segment …
abstract arxiv cs.cv diverse image interactive language latency low low latency prompts quality segmentation specialist type via visual
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