公开(公告)号：US20230042234A1

公开(公告)日：2023-02-09

申请号：US17972253

申请日：2022-10-24

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

Inventor： Yangliu XU ,  Qunyi Xie ,  Yi Chen ,  Xiameng Qin ,  Chengquan Zhang ,  Kun Yao

IPC: G06N3/08

Abstract: A method for training a model includes: obtaining a scene image, second actual characters in the scene image and a second construct image; obtaining first features and first recognition characters of characters obtained by performing character recognition on the scene image using the model to be trained; obtaining second features of characters obtained by performing character recognition on the second construct image using the training auxiliary model; and obtaining a character recognition model by adjusting model parameters of the model to be trained based on the first recognition characters, the second actual characters, the first features and the second features.

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：US20230123327A1

公开(公告)日：2023-04-20

申请号：US18068149

申请日：2022-12-19

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

Inventor： Chengquan Zhang ,  Pengyuan Lv ,  Kun Yao ,  Junyu Han ,  Jingtuo Liu

IPC: G06V30/19 ,  G06V10/82

Abstract: A method for recognizing text includes: obtaining an image sequence feature of an image to be recognized; obtaining a full text string of the image to be recognized by decoding the image sequence feature; obtaining a text sequence feature by performing a semantic enhancement process on the full text string, in which the image sequence feature, the full text string and the text sequence feature are of the same length; and determining text content of the image to be recognized based on the full text string and the text sequence feature.

公开(公告)号：US20220092353A1

公开(公告)日：2022-03-24

申请号：US17540207

申请日：2021-12-01

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

Inventor： Ruixue Liu ,  Xiameng Qin ,  Mengyi En ,  Kun Yao ,  Chengquan Zhang ,  Shengxian Zhu ,  Yunhao Li ,  Junyu Han ,  Hao Sun

IPC: G06K9/62 ,  G06V30/30 ,  G06V30/14

Abstract: A computer-implemented method includes: acquiring training data, the training data includes training images for a preset vertical type, and the training images include a first training image containing real data of the preset vertical type and a second training image containing virtual data of the preset vertical type ; building a basic model, the basic model includes a deep learning network, and the deep learning network is configured to recognize the training images to extract text data in the training image; and training the basic model by using the training data to obtain the image recognition model.

公开(公告)号：US20220301286A1

公开(公告)日：2022-09-22

申请号：US17832764

申请日：2022-06-06

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

Inventor： Kehua Chen ,  Zihan Ni ,  Rongqiao An ,  Yipeng Sun ,  Yuerong Chen ,  Kun Yao

IPC: G06V10/74 ,  G06V20/40 ,  G06V10/774

Abstract: A method and apparatus for identifying a display scene, a method and apparatus for training a model, a device, a storage medium and a computer program product are provided. An implementation of the method may comprise: acquiring a feature vector of a to-be-identified image and acquiring a base library feature vector set; ascertaining, from the base library feature vector set, at least two candidate feature vectors based on a similarity coefficient between the feature vector of the to-be-identified image and each feature vector in the base library feature vector set; performing threshold comparisons on similarity coefficients of the at least two candidate feature vectors, to obtain a target feature vector; and determining a display scene of the to-be-identified image based on a display scene tag corresponding to the target feature vector.

公开(公告)号：US20220139096A1

公开(公告)日：2022-05-05

申请号：US17578735

申请日：2022-01-19

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

Inventor： Pengyuan Lv ,  Chengquan Zhang ,  Kun Yao ,  Junyu Han

IPC: G06V30/19 ,  G06V30/18 ,  G06V20/70

Abstract: A character recognition method, a model training method, a related apparatus and an electronic device are provided. The specific solution is: obtaining a target picture; performing feature encoding on the target picture to obtain a visual feature of the target picture; performing feature mapping on the visual feature to obtain a first target feature of the target picture, where the first target feature is a feature that has a matching space with a feature of character semantic information of the target picture; inputting the first target feature into a character recognition model for character recognition to obtain a first character recognition result of the target picture.