BriefGPT.xyz
Mar, 2024
以低延迟、高质量和多样化提示的方式重新思考交互式图像分割
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts
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Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer
TL;DR
SegNext是下一代交互式分割方法,具有低延迟、高质量和多样化的支持,通过引入密集设计,细化各种视觉提示的表示,提高了综合型模型的分割质量,在HQSeg-44K和DAVIS上表现出色。
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
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