Segment Anything Model (SAM)
PulseAugur coverage of Segment Anything Model (SAM) — every cluster mentioning Segment Anything Model (SAM) across labs, papers, and developer communities, ranked by signal.
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Meta's SAM fine-tuned for improved waste segmentation accuracy
Researchers have explored the effectiveness of Meta AI's Segment Anything Model (SAM) for waste segmentation tasks. By fine-tuning SAM on three specific waste datasets, they found that the SAM-ViT-H model significantly …
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New method cuts cell segmentation clicks from thousands to one per type
Researchers have developed a new method called Chain-of-Prompts (CoP) for cell instance segmentation, significantly reducing the annotation effort required. This training-free framework leverages foundation models like …
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CLIP-Guided SAM enhances segmentation with parameter-efficient semantic conditioning
Researchers have developed CLIP-Guided SAM, a new parameter-efficient framework that enhances the Segment Anything Model (SAM) by incorporating semantic understanding. This method injects CLIP-derived features directly …
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Deep learning automates virus titration from lab images
Researchers have developed a deep learning system to automate plaque counting and virus titration from laboratory images. The system uses two models derived from the Segment Anything Model (SAM) to segment wells and the…
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New AI method matches human accuracy in organoid image segmentation
Researchers have developed a new composite method for segmenting organoid images, combining the Segment Anything Model (SAM) with a domain-specific tool. This approach aims to accurately measure the size and shape of de…