Google Inc.

Andreas Peter Steiner

Daniel M Keysers

Alexey Dosovitskiy

Jakob D Uszkoreit

Neil Matthew Tinmouth Houlsby

Xiaohua Zhai

Lucas Klaus Beyer

Alexander Kolesnikov

Mario Lucic

Thomas Unterthiner

Yin Ching Jessica Yung

Ilya Tolstikhin

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing images using mixer 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 mixer neural network layers.

Multi-layer perceptron-based computer vision neural networks

Growing community of inventors

Zurich, Switzerland

Andreas Peter Steiner