最近做的Semantic-SAM,这是一个通用的图像分割模型,可以在多个粒度上分割和识别物体。 论文地址:https://arxiv.org/pdf/2307.04767.pdf 代码地址:GitHub - UX-Decoder/Semantic-SAM 在线Demo地址:上述代码仓库的首页 模型主要优势: 多粒度丰富性。我们的模型能够以高质量产生用户点击所需的所有可能的分割细粒度(1-...
Semantic-SAM使用带有语义标记的数据集和SA-1B数据集联合训练模型,以学习物体(object)级别和细粒度(part)级别的语义信息。 多功能。Semantic-SAM 实现了高质量的全景,语义,实例,细粒度分割和交互式分割,验证了SA-1B 和其他分割任务的相互促进作用。 只需单击一下即可输出多达 6 个粒度分割! 与 SAM 相比,更可控...
在分割质量和粒度完整性方面，Semantic-SAM的表现超越了SAM。想要更直观地体验其优势，不妨尝试使用我们的演示demo，相信会带来惊喜的分割体验。
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论文链接: https://arxiv.org/abs/2307.04767 代码链接: https://github.com/UX-Decoder/Semantic-SAM 在线Demo地址:上述代码仓库的首页 一、简介 Semantic-SAM可以完全复现SAM的分割效果并达到更好的粒度和语义功能,是一个强大的vision foundation model。Semantic-SAM 支持广泛的分割任务及其相关应用,包括: ...
# Matthias Samwald, Semantic Web Company (AT) # Daniel Schwabe, University of Rio de Janeiro (BR) # Elena Simperl, STI Innsbruck (AT) # Rolf Sint, Salzburg Research (AT) # Katharina Siorpaes, STI Innsbruck (AT) # Harold Solbrig, Mayo Clinic (US) ...
Morbidoni, ChristianLe Phuoc, DanhPolleres, AxelSamwald, MatthiasTummarello, GiovanniLecture Notes in Computer Science
Both Gusam and Jinseok ask questions around Semantic Kernel and Jongin and Justin mostly answer them at a high level and show very basic demo. And at the end of the episode, Jinseok describes the overall contents of this series. Recording Link: Semantic Kernel이 뭔가요? | G3J ...
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