BriefGPT.xyz
Apr, 2023
探究 SAM 在不同实际应用中的问题：任何东西的分段并不总是完美的
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
HTML
PDF
Wei Ji, Jingjing Li, Qi Bi, Wenbo Li, Li Cheng
TL;DR
这篇研究论文讨论了Segment Anything Model在各个领域的表现及其未来发展前景，并提供了有助于未来研究活动的洞见，以完成通用分割任务。
Abstract
Recently, Meta AI Research approaches a general, promptable
segment anything model
(
sam
) pre-trained on an unprecedentedly large segmentation dataset (SA-1B). Without a double, the emergence of
→