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목록HQ-SAM 논문 설명 (1)
Study With Inha
![](http://i1.daumcdn.net/thumb/C150x150/?fname=https://blog.kakaocdn.net/dn/bJfXWW/btso4yEyUDg/axG0cviFKkHFXRJPqnEfPK/img.png)
Segment Anything in High Quality, ETH Zurich 논문링크: https://arxiv.org/abs/2306.01567 Segment Anything in High QualityThe recent Segment Anything Model (SAM) represents a big leap in scaling up segmentation models, allowing for powerful zero-shot capabilities and flexible prompting. Despite being trained with 1.1 billion masks, SAM's mask prediction quality falls short inarxiv.org Introduction올해 상..
Paper Review
2023. 7. 27. 12:17