Nvidia patents method to train image AI using other object types
Nvidia describes a way to teach computer programs to spot specific objects in pictures. The system uses pre-trained models for different object types to help train new models, allowing them to learn in parallel.
In the filing’s own words
Apparatuses, systems, and techniques to train neural networks to perform image processing tasks. In at least one embodiment, one or more second neural networks are used to train one or more first neural networks based, at least in part, on a first object type in one or more images and a second object type in the one or more images, in parallel.
What exactly they claim (claim 1)
1. One or more processors, comprising circuitry to: apply one or more neural networks to input data comprising one or more images to detect one or more instances of an object type, wherein the one or more neural networks are configured to distinguish the one or more instances of the object type from one or more other object types, the one or more neural networks having been previously trained based, at least in part, on outputs of one or more pre-trained neural networks corresponding to other object types relative to the object type; and output a detection result indicating one or more identified instances of the object type in the input data.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- NEURAL NETWORK TRAINING TECHNIQUE
- Publication number
- US20260300436A1
- Application number
- 19697376
- Filed
- Jun 3, 2026
- Published
- Oct 1, 2026
- Inventors
- 6
- Claims
- 20
Classified under
G06F 18/2148 Physics & computingG06F 18/217 Physics & computingG06F 18/22 Physics & computingG06N 3/045 Physics & computingG06N 3/08 Physics & computingG06V 10/95 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.
