公开(公告)号：US20220019849A1

公开(公告)日：2022-01-20

申请号：US16932130

申请日：2020-07-17

Applicant: SAP SE

Inventor： Sohyeong Kim ,  Ying Jiang ,  Cordula Guder

IPC: G06K9/62 ,  G06K9/00 ,  G06N20/00 ,  G06T7/90 ,  G06F16/535

Abstract: Methods, systems, and articles of manufacture, including computer program products, are provided for synthesizing images for machine learning. The method may include selecting one or more image preprocessing transformations to apply on the foreground object image; applying the selected one or more image preprocessing transformations to the foreground object image; selecting a background image from a set of background images depicting a variety of different backgrounds which may be associated with the foreground object image; merging the selected background image with the foreground object image to form a synthesized image; selecting one or more image transformations to apply on the synthesized image; applying the selected one or more image transformations to the synthesized image; and storing the synthesized image in a collection of synthesized images to train a machine learning model.

公开(公告)号：US11514489B2

公开(公告)日：2022-11-29

申请号：US17142865

申请日：2021-01-06

Applicant: SAP SE

Inventor： Ying Jiang ,  Christian Reisswig

IPC: G06Q30/04 ,  G06F40/186 ,  G06F40/169 ,  G06Q30/06 ,  G06F3/0481

Abstract: Disclosed herein are various embodiments for targeted document information extraction. An embodiment operates by receiving a document associated with a particular customer of a plurality of customers. It is determined whether to use a global processor or template processor to analyze the document based on whether one or more customer templates are associated with the particular customer. Which of the one or more templates associated with the particular customer correspond to the document is identified. The document is compared to the identified template associated with the customer. Information is extracted from the document based on the identified template and the identified plurality of variations. The extracted information for the document is output.

公开(公告)号：US11488107B2

公开(公告)日：2022-11-01

申请号：US16708000

申请日：2019-12-09

Applicant: SAP SE

Inventor： Luca Toldo ,  Konrad Schenk ,  Tunahan Atilgan ,  Martin Hoecker ,  Bettina Lieske ,  Ying Jiang

IPC: G06Q20/10 ,  G06Q20/14 ,  G06N20/00 ,  G06Q10/08 ,  G06Q30/06 ,  G06K9/62 ,  G06N3/04 ,  G06V30/413

Abstract: In some embodiments, there is provided a system. The system may include at least one data processor and at least one memory storing instructions which, when executed by the at least one data processor, cause the apparatus to at least: determine, for a received document including at least one item, that the received document likely includes at least one missing item, the determination based on at least a machine learning model and the at least one item; and provide an indication of the at least one missing item. Related systems and articles of manufacture are also provided.

公开(公告)号：US20210174297A1

公开(公告)日：2021-06-10

申请号：US16708000

申请日：2019-12-09

Applicant: SAP SE

Inventor： Luca Toldo ,  Konrad Schenk ,  Tunahan Atilgan ,  Martin Hoecker ,  Bettina Lieske ,  Ying Jiang

IPC: G06Q10/08 ,  G06Q20/10 ,  G06Q30/06 ,  G06N20/00 ,  G06N3/04 ,  G06K9/00 ,  G06K9/62

Abstract: In some embodiments, there is provided a system. The system may include at least one data processor and at least one memory storing instructions which, when executed by the at least one data processor, cause the apparatus to at least: determine, for a received document including at least one item, that the received document likely includes at least one missing item, the determination based on at least a machine learning model and the at least one item; and provide an indication of the at least one missing item. Related systems and articles of manufacture are also provided.

公开(公告)号：US11531837B2

公开(公告)日：2022-12-20

申请号：US16932130

申请日：2020-07-17

Applicant: SAP SE

Inventor： Sohyeong Kim ,  Ying Jiang ,  Cordula Guder

IPC: G06K9/62 ,  G06K9/00 ,  G06F16/535 ,  G06N20/00 ,  G06T7/90

Abstract: Methods, systems, and articles of manufacture, including computer program products, are provided for synthesizing images for machine learning. The method may include selecting one or more image preprocessing transformations to apply on the foreground object image; applying the selected one or more image preprocessing transformations to the foreground object image; selecting a background image from a set of background images depicting a variety of different backgrounds which may be associated with the foreground object image; merging the selected background image with the foreground object image to form a synthesized image; selecting one or more image transformations to apply on the synthesized image; applying the selected one or more image transformations to the synthesized image; and storing the synthesized image in a collection of synthesized images to train a machine learning model.