Nvidia patents image segmentation using visual modifications
Nvidia has filed a patent application for a processor that uses neural networks to divide images into distinct parts. The technique works by applying specific visual changes to the image before the network analyzes it to identify different objects or regions.
In the filing’s own words
Apparatuses, systems, and techniques are presented to perform segmentation on images. In at least one embodiment, one or more neural networks are used to segment an image based, at least in part, on one or more visual modifications of the image.
What exactly they claim (claim 1)
1. A processor, comprising: one or more circuits to use one or more neural networks to segment an image based, at least in part, on one or more visual modifications of the image.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- NEURAL NETWORK-BASED IMAGE SEGMENTATION
- Publication number
- US20260278851A1
- Application number
- 19667296
- Filed
- May 4, 2026
- Published
- Sep 17, 2026
- Inventors
- 7
- Claims
- 20
Classified under
G06T 9/002 Physics & computingG06T 3/60 Physics & computingG06T 7/11 Physics & computingG06V 10/25 Physics & computingG06V 10/40 Physics & computingG06V 10/7747 Physics & computingMore from Nvidia in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.