公开(公告)号：US20240169715A1

公开(公告)日：2024-05-23

申请号：US18518075

申请日：2023-11-22

Applicant: GOOGLE LLC

Inventor： Lucas Klaus Beyer ,  Pavel Izmailov ,  Simon Kornblith ,  Alexander Kolesnikov ,  Mathilde Caron ,  Xiaohua Zhai ,  Matthias Johannes Lorenz Minderer ,  Ibrahim Alabdulmohsin ,  Michael Tobias Tschannen ,  Filip Pavetic

IPC: G06V10/82 ,  G06V10/22

CPC classification number: G06V10/82 ,  G06V10/23

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a neural network that is configured to process an input image to generate a network output for the input image. In one aspect, a method comprises, at each of a plurality of training steps: obtaining a plurality of training images for the training step; obtaining, for each of the plurality of training images, a respective target output; and selecting, from a plurality of image patch generation schemes, an image patch generation scheme for the training step, wherein, given an input image, each of the plurality of image patch generation schemes generates a different number of patches of the input image, and wherein each patch comprises a respective subset of the pixels of the input image.