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Semantic Scholar is and always will be free and open for all to use. We’re a product of the Allen Institute for AI, a non-profit, philanthropic institution founded by Paul G. Allen in 2014 to contribute to humanity through high-impact AI research and engineering.
Our Work. Semantic Scholar Publications. We are an interdisciplinary research team focused on AI, HCI, ML, NLP, accessibility and computational social science in support of Semantic Scholar's mission of accelerating science. Our team is part of the Allen Institute for AI, a nonprofit research institute advancing AI for the common good. Follow ...
Oct 6, 2023 · Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.
Apr 5, 2023 · The Segment Anything Model (SAM) is introduced: a new task, model, and dataset for image segmentation, and its zero-shot performance is impressive – often competitive with or even superior to prior fully supervised results. We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation. Using our efficient model in a data collection loop, we built the ...
Semantic Scholar is a project developed at the Allen Institute for Artificial Intelligence. Publicly released in November 2015, it is designed to be an AI-backed search engine for scientific journal articles. The project uses a combination of machine learning, natural language processing, and machine vision to add a layer of semantic analysis ...
A hierarchical Transformer whose representation is computed with Shifted windows, which has the flexibility to model at various scales and has linear computational complexity with respect to image size and will prove beneficial for all-MLP architectures. This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision ...
