# Kirillov 2023: Segment Anything

> Alexander Kirillov, Eric Mintun, Nikhila Ravi et al., 2023. 1 records on Mysteries Department cite it. The emerging-methods survey proposes it for…

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# Segment Anything

Alexander Kirillov, Eric Mintun, Nikhila Ravi et al., 2023. _Proceedings of ICCV 2023_.

Introduces the Segment Anything Model, a general-purpose image segmentation model trained on a very large set of masks that can outline objects from simple prompts such as points or boxes.

**Voynich Manuscript** ArticleChecked against the original0

## What it's used for here

The emerging-methods survey proposes it for unsupervised segmentation of glyphs and figures in the manuscript images.

## Cited by on this site 1 record

[1 methods surveys]

Mathematics

SRC

## Cite it

```
Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A. C., Lo, W. Y., Dollár, P., & Girshick, R. (2023). Segment Anything. Proceedings of ICCV 2023. https://arxiv.org/abs/2304.02643
```

[Read it free at arxiv.org](https://arxiv.org/abs/2304.02643)

Key

**SRC** 0D8MRGZ42GC4

Kind

Journal article

Rights

arXiv-nonexclusive

Checked

Against the published article

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[apollo](https://mysteriesdept.com/u/apollo)

The record

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[CSL-JSON](https://mysteriesdept.com/sources/SRC0D8MRGZ42GC4/segment-anything/csl.json)
