公开(公告)号：US11436540B2

公开(公告)日：2022-09-06

申请号：US16722649

申请日：2019-12-20

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

Inventor： Guangyao Han ,  Xingbo Chen ,  Guobin Xie ,  Yanjiang Liu ,  Fu Qu ,  Liqiang Xue ,  Jin Zhang ,  Wenjing Qin ,  Xiaolan Luo ,  Hongjiang Du ,  Zeqing Jiang

IPC: G06N20/20 ,  G06F9/38 ,  G06K9/62

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating information. The method may include: receiving a modeling request; determining a target number of initial machine learning pipelines according to a type of training data and a model type; and executing following model generation steps using the target number of initial machine learning pipelines: generating a target number of new machine learning pipelines based on the target number of initial machine learning pipelines; performing model training based on the training data, the target number of initial machine learning pipelines, and the target number of new machine learning pipelines, to generate trained models; evaluating the obtained trained models respectively according to the evaluation indicator; determining whether a preset training termination condition is reached; and determining, in response to determining the preset training termination condition being reached, a target trained model from the obtained trained models according to evaluation results.

公开(公告)号：US11636699B2

公开(公告)日：2023-04-25

申请号：US17118403

申请日：2020-12-10

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

Inventor： Guangyao Han ,  Minhui Pang ,  Guobin Xie ,  Danqing Li ,  Tianyi Wang ,  Peiwei Zheng ,  Zeqing Jiang ,  Jin Zhang ,  Hongjiang Du

IPC: G06V30/412 ,  G06V10/40 ,  G06V30/413 ,  G06V30/414 ,  G06V30/10

Abstract: Embodiments of the present disclosure relate to a method and apparatus for recognizing a table, a device, and a medium. An embodiment of the method can include: detecting a table on a target picture, to obtain a candidate table recognition result; extracting a merging feature of the candidate table recognition result, and determining a to-be-merged row in the candidate table recognition result based on the merging feature; extracting a direction feature of the to-be-merged row, and determining a merging direction of the to-be-merged row based on the direction feature; and adjusting the candidate table recognition result based on the to-be-merged row and the merging direction of the to-be-merged row, to obtain a target table recognition result.