1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchMike Codyhttps://www.microsoft.com/en-us/research/people/v-codymike/Segment and Caption Anything - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="2bsfd46gDK"><a href="https://www.microsoft.com/en-us/research/publication/segment-and-caption-anything/">Segment and Caption Anything</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/segment-and-caption-anything/embed/#?secret=2bsfd46gDK" width="600" height="338" title="“Segment and Caption Anything” — Microsoft Research" data-secret="2bsfd46gDK" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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We propose a method to efficiently equip the Segment Anything Model (SAM) with the ability to generate regional captions. SAM presents strong generalizability to segment anything while is short for semantic understanding. By introducing a lightweight query-based feature mixer, we align the region-specific features with the embedding space of language models for later caption generation. […]