公开(公告)号：US12260327B2

公开(公告)日：2025-03-25

申请号：US17210141

申请日：2021-03-23

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

Inventor： Xiaomin Fang ,  Fan Wang ,  Yelan Mo ,  Jingzhou He

IPC: G06N3/08 ,  G06F18/20 ,  G06N20/00

Abstract: The present application discloses an optimizer learning method and apparatus, an electronic device and a readable storage medium, which relates to the field of deep learning technologies. An implementation solution adopted by the present application during optimizer learning is: acquiring training data, the training data including a plurality of data sets each including neural network attribute information, neural network optimizer information, and optimizer parameter information; and training a meta-learning model by taking the neural network attribute information and the neural network optimizer information in the data sets as input and taking the optimizer parameter information in the data sets as output, until the meta-learning model converges. The present application can implement self-adaptation of optimizers, so as to improve generalization capability of the optimizers.

公开(公告)号：US12211304B2

公开(公告)日：2025-01-28

申请号：US17200448

申请日：2021-03-12

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

Inventor： Yulin Li ,  Xiameng Qin ,  Chengquan Zhang ,  Junyu Han ,  Errui Ding ,  Tian Wu ,  Haifeng Wang

IPC: G06F16/901 ,  G06N3/047 ,  G06N5/04 ,  G06V10/22 ,  G06V10/80 ,  G06V30/262 ,  G06V30/414 ,  G06V10/24

Abstract: Embodiments of the present disclosure provide a method and apparatus for performing a structured extraction on a text, a device and a storage medium. The method may include: performing a text detection on an entity text image to obtain a position and content of a text line of the entity text image; extracting multivariate information of the text line based on the position and the content of the text line; performing a feature fusion on the multivariate information of the text line to obtain a multimodal fusion feature of the text line; performing category and relationship reasoning based on the multimodal fusion feature of the text line to obtain a category and a relationship probability matrix of the text line; and constructing structured information of the entity text image based on the category and the relationship probability matrix of the text line.

公开(公告)号：US12182729B2

公开(公告)日：2024-12-31

申请号：US17211720

申请日：2021-03-24

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

Inventor： Hesheng Liu ,  Yu Wang ,  Yuling Xiong ,  Zhiming Peng ,  Naifei Song ,  Shouke Qin

IPC: G06Q30/0601 ,  G06N5/04 ,  G06N20/00

Abstract: A method and apparatus for recommending a content, a device, and a medium are provided. The method may include: determining, based on historical behavior data of a user using a product and a feature of a structure of a to-be-recommended content, a target structural preference of the user, the structure being determined by classifying the to-be-recommended content based on any classifying method of a content tag system; and determining each recommendation result of the user based on the target structural preference, the recommendation result including at least two structures and a recommendation content corresponding to each structure.

公开(公告)号：US12182724B2

公开(公告)日：2024-12-31

申请号：US17025952

申请日：2020-09-18

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

Inventor： Fang Huang ,  Shuangjie Li ,  Yabing Shi ,  Ye Jiang ,  Yang Zhang ,  Yong Zhu

IPC: G06N5/02 ,  G06N5/04 ,  G06N20/00

Abstract: A method and apparatus for generating a temporal knowledge graph, a device and a medium. An embodiment comprises: acquiring corpus including time information; performing multivariate data extraction on the corpus, multivariate data including an entity pair, an entity relationship and a target time interval of the entity relationship, the target time interval being used to indicate a valid period of the entity relationship; and generating a temporal knowledge graph based on the entity pair, the entity relationship and the target time interval of the entity relationship.

公开(公告)号：US12175379B2

公开(公告)日：2024-12-24

申请号：US17119651

申请日：2020-12-11

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

Inventor： Hongjian Shi ,  Wenbin Jiang ,  Xinwei Feng ,  Miao Yu ,  Huanyu Zhou ,  Meng Tian ,  Xueqian Wu ,  Xunchao Song

IPC: G06N5/04 ,  G06N20/00 ,  G06F40/30

Abstract: The present disclosure discloses a method, apparatus, device, and storage medium for training a model, relates to the technical fields of knowledge graph, natural language processing, and deep learning. The method may include: acquiring a first annotation data set, the first annotation data set including sample data and a annotation classification result corresponding to the sample data; training a preset initial classification model based on the first annotation data set to obtain an intermediate model; performing prediction on the sample data in the first annotation data set using the intermediate model to obtain a prediction classification result corresponding to the sample data; generating a second annotation data set based on the sample data, the corresponding annotation classification result, and the corresponding prediction classification result; and training the intermediate model based on the second annotation data set to obtain a classification model.

公开(公告)号：US12154262B2

公开(公告)日：2024-11-26

申请号：US17444883

申请日：2021-08-11

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

Inventor： Huihui Xiao ,  Lei Nie ,  Jianfa Zou ,  Feng Huang

IPC: G06T7/00 ,  G06F18/22 ,  G06N20/00 ,  G06T5/00 ,  G06T5/50

Abstract: Provided are an image defect detection method and apparatus, an electronic device, a storage medium and a product. The method includes acquiring a to-be-detected image; obtaining a restored image corresponding to the to-be-detected image based on the to-be-detected image, at least one mask image group and a plurality of defect-free positive sample images, where each mask image group includes at least two binary images having a complementary relationship, and different mask image groups have different image sizes; and locating a defect of the to-be-detected image based on the to-be-detected image and each restored image. The solution solves the problem in which a related defect detection method requires numerous manual operations and has a low detection accuracy due to subjective factors of a worker.

公开(公告)号：US12112503B2

公开(公告)日：2024-10-08

申请号：US17356649

申请日：2021-06-24

Applicant: Beijing Baidu Netcom Science and Technology Co., LTD

Inventor： Caimao Yuan ,  Pengbin Yang ,  Fengze Han ,  Fei Ni ,  Yang Yang

IPC: G06T7/80 ,  G06F17/16 ,  H04N17/00 ,  H04N23/90 ,  B60W50/06 ,  B60W60/00

CPC classification number: G06T7/80 ,  G06F17/16 ,  H04N17/002 ,  H04N23/90 ,  B60W50/06 ,  B60W60/001 ,  B60W2420/403 ,  G06T2207/30208 ,  G06T2207/30256

Abstract: The present application discloses a method and an apparatus for calibrating external parameters of an image acquisition device, a device and a storage medium, and relates to the technical field of vehicle positioning. The specific implementation solution is as follows: acquiring an image captured by the image acquisition device; determining a plurality of marking points on a calibration plate in the image; determining a first conversion matrix based on coordinates of each of the marking points in the image pixel coordinate system and the calibration plate coordinate system; determining a second conversion matrix based on coordinates of at least one wheel grounding point of the vehicle in the calibration plate coordinate system and the vehicle body coordinate system; and determining external parameters of the image acquisition device by using the first conversion matrix and the second conversion matrix.

公开(公告)号：US12079580B2

公开(公告)日：2024-09-03

申请号：US17348306

申请日：2021-06-15

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

Inventor： Tao Huang ,  Baohui Wang ,  Li Liu ,  Litao Zheng

IPC: G06F40/30 ,  G06F18/21 ,  G06F18/213 ,  G06F18/22 ,  G06F40/279 ,  G06N3/08

CPC classification number: G06F40/30 ,  G06F18/213 ,  G06F18/2163 ,  G06F18/22 ,  G06F40/279 ,  G06N3/08

Abstract: An information extraction method, an extraction model training method, an apparatus and an electronic device all relate to knowledge graphs. A specific implementation includes acquiring an input text and determining a semantic vector of the input text according to the input text. Such implementation also includes inputting the semantic vector of the input text to a pre-acquired extraction model to obtain a first enhanced text of the input text. The first enhanced text is a text with a text score greater than a preset threshold output by the extraction model. The extraction model performs text extraction based on the semantic vector of the input text. Since the semantic vector has rich context semantics, the enhanced text extracted by the extraction model can be more in line with the context of the input text.

公开(公告)号：US12032906B2

公开(公告)日：2024-07-09

申请号：US17362666

申请日：2021-06-29

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

Inventor： Qifei Zeng ,  Yuhong Zheng ,  Weijian Xu ,  Tao Li

IPC: G16H10/60 ,  G06F40/226 ,  G06F40/279 ,  G06N20/00 ,  G16H10/20

CPC classification number: G06F40/226 ,  G06F40/279 ,  G06N20/00 ,  G16H10/20 ,  G16H10/60

Abstract: A method, apparatus and device for quality control and storage media relate to the field of artificial intelligence technology, particularly to the field of natural language understanding and knowledge graphs, which may be applied in the medical field. The method includes: acquiring text information to be detected and domain of the text information; acquiring preset questions and machine reading comprehension model according to the domain; inputting the questions and the text information into the machine reading comprehension model to obtain extracted answers; outputting quality control information in response to the answers being not empty.

公开(公告)号：US20240220812A1

公开(公告)日：2024-07-04

申请号：US17474950

申请日：2021-09-14

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

Inventor： Ruiqing ZHANG ,  Xiyang WANG ,  Zhongjun HE ,  Zhi LI ,  Hua WU

IPC: G06N3/094

CPC classification number: G06N3/094

Abstract: A method for training a machine translation (MT) model and an electronic device are provided. The technical solution includes: obtaining an original training sample configured to train an MT model; generating at least one adversarial training sample of the MT model based on the original training sample; training the MT model based on the original training sample and the adversarial training sample.