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SAM 3: Segment Anything with Concepts research paper by Meta, 2025

Meta · Nov 20, 2025 · Multimodal and robotics · 999 citations · 138 upvotes · unverified

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What it shows

Segment Anything Model 3 achieves state-of-the-art performance in promptable concept segmentation and tracking by leveraging a unified model architecture with decoupled recognition and localization.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Nicolas Carion, Laura Gustafson, Yuan-Ting Hu and 35 more
arXiv
2511.16719 · PDF
Venue
arXiv.org
Citations
999, 153 influential · Semantic Scholar
Upvotes
138 · Hugging Face
Code
github.com/facebookresearch/sam3
Lab
Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 153Sep 25, 2026
Citationsfirst count: 999Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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