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of a field to be filled in the template image, where the annotation information includes attribute value and historical content of the field to be filled, and historical position of the field to be filled in the template image; generating, according to the attribute value of the field to be filled, the historical content of the field to be filled and the historical position of the field to be filled in the template image, target filling information of the field to be filled;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：US20220148324A1

公开(公告)日：2022-05-12

申请号：US17581047

申请日：2022-01-21

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

Inventor： Xiameng QIN ,  Yulin Li ,  Ju Huang ,  Qunyi Xie ,  Chengquan Zhang ,  Kun Yao ,  Jingtuo Liu ,  Junyu Han

IPC: G06V30/18 ,  G06V30/24 ,  G06V30/148 ,  G06V30/19

Abstract: Provided are a method and apparatus for extracting information about a negotiable instrument, an electronic device and a storage medium. The method includes inputting a to-be-recognized negotiable instrument into a pretrained deep learning network and obtaining a visual image corresponding to the to-be-recognized negotiable instrument through the deep learning network;
matching the visual image corresponding to the to-be-recognized negotiable instrument with a visual image corresponding to each negotiable-instrument template in a preconstructed base template library; and in response to the visual image corresponding to the to-be-recognized negotiable instrument successfully matching a visual image corresponding to one negotiable-instrument template in the base template library, extracting structured information of the to-be-recognized negotiable instrument by using the negotiable-instrument template.

公开(公告)号：US11768876B2

公开(公告)日：2023-09-26

申请号：US17161466

申请日：2021-01-28

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

Inventor： Xiameng Qin ,  Yulin Li ,  Qunyi Xie ,  Ju Huang ,  Junyu Han

IPC: G06F16/9032 ,  G06F16/583 ,  G06F16/532 ,  G06F40/279 ,  G06N3/04 ,  G06N3/088 ,  G06F18/213 ,  G06F18/25 ,  G06V10/25 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82 ,  G06V10/44

CPC classification number: G06F16/90332 ,  G06F16/532 ,  G06F16/583 ,  G06F18/213 ,  G06F18/253 ,  G06F40/279 ,  G06N3/04 ,  G06N3/088 ,  G06V10/25 ,  G06V10/454 ,  G06V10/764 ,  G06V10/806 ,  G06V10/82 ,  G06V2201/07

Abstract: The present disclosure provides a method for visual question answering, which relates to a field of computer vision and natural language processing. The method includes: acquiring an input image and an input question; constructing a Visual Graph based on the input image, wherein the Visual Graph comprises a Node Feature and an Edge Feature; updating the Node Feature by using the Node Feature and the Edge Feature to obtain an updated Visual Graph; determining a question feature based on the input question; fusing the updated Visual Graph and the question feature to obtain a fused feature; and generating a predicted answer for the input image and the input question based on the fused feature. The present disclosure further provides an apparatus for visual question answering, a computer device and a non-transitory computer-readable storage medium.

公开(公告)号：US11756170B2

公开(公告)日：2023-09-12

申请号：US17151783

申请日：2021-01-19

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

Inventor： Qunyi Xie ,  Xiameng Qin ,  Yulin Li ,  Junyu Han ,  Shengxian Zhu

IPC: G06T5/00 ,  G06N3/08 ,  G06T5/30

CPC classification number: G06T5/006 ,  G06N3/08 ,  G06T5/30 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30176

Abstract: Embodiments of the present disclosure provide a method and apparatus for correcting a distorted document image, where the method for correcting a distorted document image includes: obtaining a distorted document image; and inputting the distorted document image into a correction model, and obtaining a corrected image corresponding to the distorted document image; where the correction model is a model obtained by training with a set of image samples as inputs and a corrected image corresponding to each image sample in the set of image samples as an output, and the image samples are distorted. By inputting the distorted document image to be corrected into the correction model, the corrected image corresponding to the distorted document image can be obtained through the correction model, which realizes document image correction end-to-end, improves accuracy of the document image correction, and extends application scenarios of the document image correction.

公开(公告)号：US11775574B2

公开(公告)日：2023-10-03

申请号：US17182987

申请日：2021-02-23

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

Inventor： Yulin Li ,  Xiameng Qin ,  Ju Huang ,  Qunyi Xie ,  Junyu Han

IPC: G06F16/00 ,  G06F16/36 ,  G06F40/279 ,  G06F18/25 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82 ,  G06V10/44 ,  G06V10/426 ,  G06N3/02

CPC classification number: G06F16/367 ,  G06F18/253 ,  G06F40/279 ,  G06V10/426 ,  G06V10/454 ,  G06V10/764 ,  G06V10/811 ,  G06V10/82 ,  G06N3/02

Abstract: A method for visual question answering, a computer device implementing the method and a medium for storing instructions on performing the method are provided. The method includes: acquiring an input image and an input question; constructing a visual graph based on the input image, wherein the visual graph comprises a first node feature and a first edge feature; constructing a question graph based on the input question, wherein the question graph comprises a second node feature and a second edge feature; performing a multimodal fusion on the visual graph and the question graph to obtain an updated visual graph and an updated question graph; determining a question feature based on the input question; determining a fusion feature based on the updated visual graph, the updated question graph and the question feature; and generating a predicted answer for the input image and the input question.