🏠IT之家•May 30, 2026Stalecollected in 9m

NVIDIA releases LocateAnything for high-speed object detection

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#robotics #computer-vision #embodied-ailocateanythingnvidia locateanything h100

💡New NVIDIA model achieves 12.7 BPS for real-time object detection, outperforming current SOTA vision-language models.

⚡ 30-Second TL;DR

What Changed

Introduces Parallel Box Decoding to predict bounding boxes in a single step.

Why It Matters

This model significantly lowers the latency for embodied AI and robotic perception tasks. It provides a more efficient alternative for developers building real-time visual interaction systems.

What To Do Next

Review the LocateAnything paper and evaluate its Hybrid Mode for your real-time robotic vision or GUI automation pipeline.

Who should care:Researchers & Academics

Key Points

•Introduces Parallel Box Decoding to predict bounding boxes in a single step.
•Offers three modes: Fast (robotics), Slow (labeling), and Hybrid (adaptive).
•Achieves 12.7 Boxes Per Second on H100, significantly outperforming existing models like Rex-Omni.
•Trained on LocateAnything-Data, a massive dataset with 785M bounding boxes.

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