Invention Grant
- Patent Title: Domain separation neural networks
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Application No.: US17222782Application Date: 2021-04-05
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Publication No.: US11361531B2Publication Date: 2022-06-14
- Inventor: Konstantinos Bousmalis , Nathan Silberman , Dilip Krishnan , George Trigeorgis , Dumitru Erhan
- 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: G06K9/46
- IPC: G06K9/46 ; G06V10/44 ; 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.
Public/Granted literature
- US20210224573A1 DOMAIN SEPARATION NEURAL NETWORKS Public/Granted day:2021-07-22
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