Google llc (20240289926). PROCESSING IMAGES USING MIXTURE OF EXPERTS simplified abstract

PROCESSING IMAGES USING MIXTURE OF EXPERTS

Organization Name

google llc

Inventor(s)

Carlos Riquelme Ruiz of Zurich (CH)

André Susano Pinto of Zurich (CH)

Basil Mustafa of Zurich (CH)

Daniel M. Keysers of Stallikon (CH)

Joan Puigcerver I Perez of Zurich (CH)

Maxim Neumann of Zurich (CH)

Neil Matthew Tinmouth Houlsby of Zurich (CH)

Rodolphe Jenatton of Berlin (DE)

PROCESSING IMAGES USING MIXTURE OF EXPERTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240289926 titled 'PROCESSING IMAGES USING MIXTURE OF EXPERTS

The patent application describes methods, systems, and apparatus for generating predictions about images using a neural network with expert modules.

• The system includes a neural network with network blocks that process input images by dividing them into patches and assigning each patch to expert modules.
• Each expert module processes its assigned patch to generate module outputs, which are then combined to generate a final output for the block.
• This approach allows for more detailed and accurate predictions about images by leveraging the expertise of different modules within the neural network.

Potential Applications:

• Image recognition and classification
• Object detection in images
• Image segmentation for medical imaging

Problems Solved:

• Improving the accuracy of image predictions
• Enhancing the capabilities of neural networks for image processing tasks

Benefits:

• Higher accuracy in image predictions
• More efficient processing of images
• Enhanced performance in image-related tasks

Commercial Applications:

• This technology could be used in various industries such as healthcare, security, and autonomous vehicles for image analysis and processing.

Questions about the technology: 1. How does the use of expert modules improve the accuracy of image predictions? 2. What are the potential limitations of this approach in image processing tasks?

Frequently Updated Research:

• Stay updated on advancements in neural network architectures for image processing tasks to enhance the capabilities of the technology.

Original Abstract Submitted

methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating predictions about images. one of the systems includes a neural network comprising a sequence of one or more network blocks that are each configured to perform operations comprising: obtaining a block input that represents an intermediate representation of an input image; determining a plurality of patches of the block input or of an updated representation of the block input, wherein each patch comprises a different subset of elements of the block input or of the updated representation of the block input; assigning each patch to one or more respective expert modules of a plurality of expert modules of the network block; for each patch of the plurality of patches, processing the patch using the corresponding expert modules to generate respective module outputs; and generating a block output by combining the module outputs.