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Autoregressive Universal Video Segmentation Model research paper by NVIDIA, 2025

NVIDIA · Aug 26, 2025 · Multimodal and robotics · 1 citations · 29 upvotes · unverified

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What it shows

AUSM, an autoregressive universal segmentation model, unifies prompted and unprompted video segmentation by treating it as sequential mask prediction, achieving superior performance and faster training on standard benchmarks.

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

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About this paper
Authors
Miran Heo, Sukjun Hwang, Min-Hung Chen and 4 more
arXiv
2508.19242 · PDF
Venue
arXiv.org
Citations
1, 0 influential · Semantic Scholar
Upvotes
29 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Upvotes28 to 29 (+1)Sep 25, 2026
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 1Sep 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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