公开(公告)号：US11687704B2

公开(公告)日：2023-06-27

申请号：US17207179

申请日：2021-03-19

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Qiaoyi Li ,  Xiangkai Huang ,  Yulin Li ,  Ju Huang ,  Xiameng Qin ,  Duohao Qin ,  Minghao Liu ,  Junyu Han

IPC: G06F7/02 ,  G06F16/00 ,  G06F40/174 ,  G06F16/93 ,  G06V30/40 ,  G06V30/19 ,  G06V30/10

CPC classification number: G06F40/174 ,  G06F16/93 ,  G06V30/19013 ,  G06V30/19173 ,  G06V30/40 ,  G06V30/10

Abstract: Disclosed are a method, apparatus and electronic device for annotating information of a structured document. A specific implementation is: obtaining a template image of a structured document and at least one piece of annotation information of a field to be filled in the template image, where the annotation information includes attribute value and historical content of the field to be filled, and historical position of the field to be filled in the template image; generating, according to the attribute value of the field to be filled, the historical content of the field to be filled and the historical position of the field to be filled in the template image, target filling information of the field to be filled; obtaining, according to the target filling information of the field to be filled, an image of an annotated structured document.

公开(公告)号：US20210390294A1

公开(公告)日：2021-12-16

申请号：US17139403

申请日：2020-12-31

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Xiangkai Huang ,  Qiaoyi LI ,  Yulin LI ,  Ju Huang ,  Duohao Qin ,  Xiameng Qin ,  Minghao Liu ,  Junyu Han ,  Jiangliang Guo

IPC: G06K9/00 ,  G06N3/04 ,  G06N3/08

Abstract: Embodiments of the present disclosure disclose an image table extraction method and apparatus, an electronic device, a storage media, and a training method for a table extraction model, which relate to the field of artificial intelligence technologies and cloud computing technologies, including: acquiring an image to be processed;
generating a table of the image to be processed according to a table extraction model, where the table extraction model is obtained according to a field position feature, an image feature, and a text feature of a sample image; and filling text information of the image to be processed into the table.

公开(公告)号：US12154359B2

公开(公告)日：2024-11-26

申请号：US17743687

申请日：2022-05-13

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Xia Zhou ,  Leyi Wang ,  Qiaoyi Li ,  Duohao Qin ,  Minghao Liu

IPC: G06V30/413 ,  G06V10/75

Abstract: A method and apparatus for detecting a table. The method includes: acquiring a to-be-processed image; inputting the to-be-processed image into a pre-trained deep learning model, and outputting a full table detection branch result, a column detection branch result and a header detection branch result through the deep learning model; where the full table detection branch result represents a detection result for a full table in the to-be-processed image, the column detection branch result represents a detection result for a column in the table in the to-be-processed image, and the header detection branch result represents a detection result for a header in the to-be-processed image; and obtaining a detection result of the table in the to-be-processed image, based on the full table detection branch result, the column detection branch result and the header detection branch result.

公开(公告)号：US20220277575A1

公开(公告)日：2022-09-01

申请号：US17743687

申请日：2022-05-13

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Xia Zhou ,  Leyi Wang ,  Qiaoyi Li ,  Duohao Qin ,  Minghao Liu

IPC: G06V30/413 ,  G06V10/75

Abstract: A method and apparatus for detecting a table. The method includes: acquiring a to-be-processed image; inputting the to-be-processed image into a pre-trained deep learning model, and outputting a full table detection branch result, a column detection branch result and a header detection branch result through the deep learning model; where the full table detection branch result represents a detection result for a full table in the to-be-processed image, the column detection branch result represents a detection result for a column in the table in the to-be-processed image, and the header detection branch result represents a detection result for a header in the to-be-processed image; and obtaining a detection result of the table in the to-be-processed image, based on the full table detection branch result, the column detection branch result and the header detection branch result.