Talk on group meeting about Segment Anything Model
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The meeting discussed the Segment Anything model, which is a groundbreaking project characterized by a vast data engine known as SA-1B, containing 100 million masks and 11 million images. This system can be easily constructed and run locally in real-time, with a processing speed of 50 milliseconds per CPU. It supports visual prompt interactions and provides multiple data annotation methods, including manual assistance, semi-automated (similar to LabelStudio), and fully automated approaches. The model’s output is divided into three parts: the overall, sub-parts, and sections. Its architecture includes a MASK decoder (similar to MaskFormer), an image encoder (ViT-H), and a prompt encoder (CLIP), supporting prompt tokens and attention mechanisms between images and tokens. You can visit PPT here.