Segment Everything Everywhere All at Once (SEEM)

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Paper summary

A promptable, interactive segmentation model.

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Key points

Unified promptable model: Handles various segmentation tasks (semantic, instance, referring, interactive) in one promptable model.

Multi-modal prompts: Accepts text, click, box, scribble, and mask prompts - broader than SAM's prompt vocabulary.

Open-vocabulary: Competitive on open-vocabulary and interactive segmentation benchmarks.

SAM-complement: A more flexible alternative to SAM with richer prompting - both pushed interactive segmentation to production.

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