公开(公告)号：US11951622B2

公开(公告)日：2024-04-09

申请号：US17656137

申请日：2022-03-23

Applicant: Google LLC

Inventor： Paul Wohlhart ,  Stephen James ,  Mrinal Kalakrishnan ,  Konstantinos Bousmalis

IPC: G06T7/00 ,  B25J9/16 ,  G05B13/02 ,  G06F18/21 ,  G06F18/214 ,  G06F18/2431 ,  G06N3/045 ,  G06N3/08 ,  G06T7/50 ,  G06V10/764 ,  G06V10/776 ,  G06V10/82 ,  G06V20/10

CPC classification number: B25J9/161 ,  B25J9/163 ,  B25J9/1671 ,  B25J9/1697 ,  G05B13/027 ,  G06F18/2148 ,  G06F18/217 ,  G06F18/2431 ,  G06N3/045 ,  G06N3/08 ,  G06T7/50 ,  G06V10/764 ,  G06V10/776 ,  G06V10/82 ,  G06V20/10 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a generator neural network to adapt input images.

公开(公告)号：US11341364B2

公开(公告)日：2022-05-24

申请号：US16649599

申请日：2018-09-20

Applicant: GOOGLE LLC

Inventor： Konstantinos Bousmalis ,  Alexander Irpan ,  Paul Wohlhart ,  Yunfei Bai ,  Mrinal Kalakrishnan ,  Julian Ibarz ,  Sergey Vladimir Levine ,  Kurt Konolige ,  Vincent O. Vanhoucke ,  Matthew Laurance Kelcey

IPC: G06K9/62 ,  B25J9/16 ,  G06N3/04 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training an action selection neural network that is used to control a robotic agent interacting with a real-world environment.

公开(公告)号：US20210224573A1

公开(公告)日：2021-07-22

申请号：US17222782

申请日：2021-04-05

Applicant: Google LLC

Inventor： Konstantinos Bousmalis ,  Nathan Silberman ,  Dilip Krishnan ,  George Trigeorgis ,  Dumitru Erhan

IPC: G06K9/46 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  G06T7/73

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing images using an image processing neural network system. One of the system includes a shared encoder neural network implemented by one or more computers, wherein the shared encoder neural network is configured to: receive an input image from a target domain; and process the input image to generate a shared feature representation of features of the input image that are shared between images from the target domain and images from a source domain different from the target domain; and a classifier neural network implemented by the one or more computers, wherein the classifier neural network is configured to: receive the shared feature representation; and process the shared feature representation to generate a network output for the input image that characterizes the input image.