Invention Grant
- Patent Title: Processing images using self-attention based neural networks
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Application No.: US18500034Application Date: 2023-11-01
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Publication No.: US11983903B2Publication Date: 2024-05-14
- Inventor: Neil Matthew Tinmouth Houlsby , Sylvain Gelly , Jakob D. Uszkoreit , Xiaohua Zhai , Georg Heigold , Lucas Klaus Beyer , Alexander Kolesnikov , Matthias Johannes Lorenz Minderer , Dirk Weissenborn , Mostafa Dehghani , Alexey Dosovitskiy , Thomas Unterthiner
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06F18/24 ; G06N3/045 ; G06N3/08

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing images using self-attention based neural networks. One of the methods includes obtaining one or more images comprising a plurality of pixels; determining, for each image of the one or more images, a plurality of image patches of the image, wherein each image patch comprises a different subset of the pixels of the image; processing, for each image of the one or more images, the corresponding plurality of image patches to generate an input sequence comprising a respective input element at each of a plurality of input positions, wherein a plurality of the input elements correspond to respective different image patches; and processing the input sequences using a neural network to generate a network output that characterizes the one or more images, wherein the neural network comprises one or more self-attention neural network layers.
Public/Granted literature
- US20240062426A1 PROCESSING IMAGES USING SELF-ATTENTION BASED NEURAL NETWORKS Public/Granted day:2024-02-22
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