公开(公告)号：US11776180B2

公开(公告)日：2023-10-03

申请号：US16802440

申请日：2020-02-26

Applicant: ADOBE INC.

Inventor： Ning Xu ,  Bayram Safa Cicek ,  Hailin Jin ,  Zhaowen Wang

IPC: G06N20/20 ,  G06T11/60 ,  G06N3/088 ,  G06T11/00 ,  G06F18/214 ,  G06N3/045 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V10/44

CPC classification number: G06T11/60 ,  G06F18/214 ,  G06N3/045 ,  G06N3/088 ,  G06T11/00 ,  G06V10/454 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06T2210/36

Abstract: Embodiments of the present disclosure are directed towards improved models trained using unsupervised domain adaptation. In particular, a style-content adaptation system provides improved translation during unsupervised domain adaptation by controlling the alignment of conditional distributions of a model during training such that content (e.g., a class) from a target domain is correctly mapped to content (e.g., the same class) in a source domain. The style-content adaptation system improves unsupervised domain adaptation using independent control over content (e.g., related to a class) as well as style (e.g., related to a domain) to control alignment when translating between the source and target domain. This independent control over content and style can also allow for images to be generated using the style-content adaptation system that contain desired content and/or style.