UX-Decoder/Segment-Everything-Everywhere-All-At-Once
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[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
3 mentions on Hacker News by 2 people: 1 story, 2 comments · first 2023-04-14 · latest 2023-10-28
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Yes, you can. The model that I was talking about LLaVA only output text but other models such as SEEM ( https://github.com/UX-Decoder/Segment-Everything-Everywhere-... ) outputs a segmentation map. You could prompt the model "Where is the…
comment by baptiste1 · 2023-10-28 · in Is supervised learning dead for computer vision? -
Foundational models are generally trained on internet scale level of data. They have seen billions of images, so they would have seen some medical images. For example, extracted from public datasets or textbooks. However, indeed, they may…
comment by baptiste1 · 2023-10-28 · in Is supervised learning dead for computer vision? -
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Seem: Segment Everything Everywhere All at Oncestory by Mxbonn · 2023-04-14 · 0 comments