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Jun 21, 2023 · By reformulating the task as segments-generation and prompting, it is found that a regular CNN detector with an instance segmentation branch can also accomplish this task well and achieve a comparable performance with the SAM method at 50 times higher run-time speed. The recently proposed segment anything model (SAM) has made a significant influence in many computer vision tasks. It is ...
Jan 2, 2018 · Semantic Scholar removes the long tail of search results, allowing one to quickly get up to speed on one’s disciplines, while limiting the distraction caused by less relevant research. Semantic Scholar also saves time by its drive to provide full-text and mobile-enabled design. It truly is a search engine designed by researchers for researchers.
Semantic Scholar is a free, AI-powered search and discovery tool that helps researchers discover and understand scientific literature that's most relevant to their work. Semantic Scholar uses machine learning techniques to extract meaning and identify connections from within papers, then surfaces these insights to help scholars gain an in-depth ...
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Oct 6, 2023 · Aug 7, 2023. 5 min read. Semantic Scholar provides resources as free services for the global research community as part of our mission to accelerate scientific breakthroughs with AI.
May 31, 2021 · SegFormer is presented, a simple, efficient yet powerful semantic segmentation framework which unifies Transformers with lightweight multilayer perception (MLP) decoders and shows excellent zero-shot robustness on Cityscapes-C. We present SegFormer, a simple, efficient yet powerful semantic segmentation framework which unifies Transformers with lightweight multilayer perception (MLP) decoders ...
