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NvidiaPatent applicationAI & softwareInterest 4/10

Nvidia patents image processing method using dual attention networks

Nvidia describes a method for processing images by breaking them into small sections called patches. The system uses two types of attention mechanisms to analyze how these patches relate to each other and how different color channels interact, creating a more accurate understanding of the image.

Why it mattersThis technique could help computer systems recognize objects or details in photos more reliably, which is useful for applications like self-driving cars or medical imaging.

In the filing’s own words

Apparatuses, systems, and techniques to generate a robust representation of an image. In at least one embodiment, input tokens of an input image are received, and an inference about the input image is generated based on a vision transformer (ViT) system comprising at least one self-attention module to perform token mixing and a channel self-attention module to perform channel processing.

What exactly they claim (claim 1)

1. A method of operating a neural network to process an input image and from the input image generate an output image, the input image divisible into one or more patches and having a channel dimension, the method comprising: aggregating one or more feature representations of the one or more patches to obtain one or more aggregated feature representations; aggregating the one or more aggregated feature representations, at least in part by computing an attention matrix along the channel dimension to obtain one or more channel-aggregated feature representations; generating an inference about the input image based, at least in part, on the one or more channel-aggregated feature representations; and generating the output image based, at least in part, on the inference.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
ROBUST VISION TRANSFORMERS
Publication number
US20260268649A1
Application number
19675260
Filed
May 12, 2026
Published
Sep 10, 2026
Inventors
6
Claims
20

Classified under

G06V 10/82 Physics & computingG06F 21/1014 Physics & computingG06V 10/30 Physics & computingG06V 10/7715 Physics & computingG06V 10/778 Physics & computingH04N 1/32336 Electricity & electronics

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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.