Open LLM Leaderboard - a Hugging Face Space by HuggingFaceH4
Discover amazing ML apps made by the community
I-JEPA: The first AI model based on Yann LeCunโs vision for more human-like AI
I-JEPA learns by creating an internal model of the outside world, which compares abstract representations of images (rather than comparing the pixels themselves).
Segment Anything: TorchServe๋ก ๋ฐฐํฌํ๊ธฐ - code ํฌํจ
Segment Anything model์ TorchServe๋ฅผ ํตํด ๋ฐฐํฌํ๋ ๊ณผ์ ์ Code๋ฅผ ํตํด์ ์์ธํ๊ฒ ์๋ ค๋๋ฆฝ๋๋ค. python code์ docker๋ฅผ ์ฌ์ฉํด ์ถ๋ก ํ๊ฒฝ์ ๋ง๋๋ ๊ณผ์ ์ด ํฌํจ๋์ด ์์ต๋๋ค.
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ผ๋ฌธ๋ฆฌ๋ทฐ Segment Anything | SAM
Segment Anything Model์ SAM์ ๊ฐ์ฒด ์๋ณ ์ฑ๋ฅ, ํด๋์ค(=๊ฐ์ฒด ์นดํ
๊ณ ๋ฆฌ) ์์ ๋, ์๊ฑฐ๋ ๋ณต์กํ ๊ฐ์ฒด์ ๋ํ ์ธ๋ถํ๋ ๋ถํ , ์ค์๊ฐ ์ฒ๋ฆฌ, ์ฌ์ด ์๋น์ค ํตํฉ ๋ฐ ์ฌ์ฉ ๋ฑ ๋ค์ํ ์ธก๋ฉด์์ ์ด์ ์ ๊ฐ๋ ๋ชจ๋ธ์
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์กฐ์ํธ
Comparing current and prior imaging studies in radiology AI
Todayโs AI radiology solutions donโt effectively account for past imaging findings despite their routine use by radiologists. BioViL-T jointly trains text and image encoders that can ground radiology text across longitudinal images:
