公开(公告)号：US11960843B2

公开(公告)日：2024-04-16

申请号：US16401548

申请日：2019-05-02

Applicant: Adobe Inc.

Inventor： Zhe Lin ,  Trung Huu Bui ,  Scott Cohen ,  Mingyang Ling ,  Chenyun Wu

IPC: G06N20/00 ,  G06F40/30 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06F18/21 ,  G06F40/205

CPC classification number: G06F40/30 ,  G06N20/00 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06F18/217 ,  G06F40/205

Abstract: Techniques and systems are provided for training a machine learning model using different datasets to perform one or more tasks. The machine learning model can include a first sub-module configured to perform a first task and a second sub-module configured to perform a second task. The first sub-module can be selected for training using a first training dataset based on a format of the first training dataset. The first sub-module can then be trained using the first training dataset to perform the first task. The second sub-module can be selected for training using a second training dataset based on a format of the second training dataset. The second sub-module can then be trained using the second training dataset to perform the second task.

公开(公告)号：US20200349464A1

公开(公告)日：2020-11-05

申请号：US16401548

申请日：2019-05-02

Applicant: Adobe Inc.

Inventor： Zhe Lin ,  Trung Huu Bui ,  Scott Cohen ,  Mingyang Ling ,  Chenyun Wu

IPC: G06N20/00

Abstract: Techniques and systems are provided for training a machine learning model using different datasets to perform one or more tasks. The machine learning model can include a first sub-module configured to perform a first task and a second sub-module configured to perform a second task. The first sub-module can be selected for training using a first training dataset based on a format of the first training dataset. The first sub-module can then be trained using the first training dataset to perform the first task. The second sub-module can be selected for training using a second training dataset based on a format of the second training dataset. The second sub-module can then be trained using the second training dataset to perform the second task.