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LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding research paper by NVIDIA, 2026

NVIDIA · May 26, 2026 · Multimodal and robotics · 16 citations · 142 upvotes · unverified

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What it shows

Parallel Box Decoding enables efficient and accurate unified visual grounding and detection by decoding geometric elements as atomic units, improving both throughput and localization quality.

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

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About this paper
Authors
Shihao Wang, Shilong Liu, Yuanguo Kuang and 10 more
arXiv
2605.27365 · PDF
Venue
arXiv.org
Citations
16, 1 influential · Semantic Scholar
Upvotes
142 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 1Sep 25, 2026
Citationsfirst count: 16Sep 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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