公开(公告)号：US11854283B2

公开(公告)日：2023-12-26

申请号：US17169112

申请日：2021-02-05

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

Inventor： Pengyuan Lv ,  Xiaoqiang Zhang ,  Shanshan Liu ,  Chengquan Zhang ,  Qiming Peng ,  Sijin Wu ,  Hua Lu ,  Yongfeng Chen

IPC: G06V30/262 ,  G06T7/70 ,  G06V30/413 ,  G06V20/62 ,  G06F16/33 ,  G06V30/19 ,  G06V10/82 ,  G06V30/416

CPC classification number: G06V30/274 ,  G06F16/3344 ,  G06T7/70 ,  G06V10/82 ,  G06V20/62 ,  G06V30/19173 ,  G06V30/413 ,  G06V30/416 ,  G06T2207/30176

Abstract: The present disclosure provides a method for visual question answering, which relates to fields of computer vision and natural language processing. The method includes: acquiring an input image and an input question; detecting visual information and position information of each of at least one text region in the input image; determining semantic information and attribute information of each of the at least one text region based on the visual information and the position information; determining a global feature of the input image based on the visual information, the position information, the semantic information, and the attribute information; determining a question feature based on the input question; and generating a predicted answer for the input image and the input question based on the global feature and the question feature. The present disclosure further provides a device for visual question answering, a computer device and a medium.

公开(公告)号：US20220324109A1

公开(公告)日：2022-10-13

申请号：US17809687

申请日：2022-06-29

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

Inventor： Hongsheng Zeng ,  Bo Zhou ,  Fan Wang ,  Yongfeng Chen ,  Jingzhou He

IPC: B25J9/16 ,  B62D57/032

Abstract: Disclosed are a method and an apparatus for controlling a multi-legged robot, and a storage medium. The method includes: acquiring current state parameters of the multi-legged robot; when types and/or quantities of the current state parameters meet a first preset condition, acquiring a first motion control policy by inputting the current state parameters into a first model generated by training; and controlling the multi-legged robot based on the first motion control policy.

公开(公告)号：US20230073550A1

公开(公告)日：2023-03-09

申请号：US17988065

申请日：2022-11-16

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

Inventor： Han LIU ,  Teng Hu ,  Shikun Feng ,  Yongfeng Chen

IPC: G06F40/30 ,  G06F40/40 ,  G06F40/284

Abstract: A method for extracting text information includes: acquiring a text to be extracted and a target field name; extracting candidate text information matching the target field name from the text to be extracted based on the text to be extracted and the target field name; and acquiring target text information matching fusion semantics of the text to be extracted, the target field name and the candidate text information by filtering the candidate text information based on the fusion semantics. Therefore, when the candidate text information matching the target field name is extracted from the text to be extracted, the candidate text information is filtered based on the fusion semantics of the text to be extracted, the target field name and the candidate text information, which improves the accuracy of extracting text information.

公开(公告)号：US20230073994A1

公开(公告)日：2023-03-09

申请号：US17988107

申请日：2022-11-16

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

Inventor： Han LIU ,  Teng Hu ,  Shikun Feng ,  Yongfeng Chen

IPC: G06V30/18 ,  G06N3/08

Abstract: A method for extracting text information includes: acquiring a text to be extracted and a target field name; extracting candidate text information matching the target field name from the text to be extracted based on the text to be extracted and the target field name; and acquiring target text information matching fusion semantics of the text to be extracted, the target field name and the candidate text information by filtering the candidate text information based on the fusion semantics. Therefore, when the candidate text information matching the target field name is extracted from the text to be extracted, the candidate text information is filtered based on the fusion semantics of the text to be extracted, the target field name and the candidate text information, which improves the accuracy of extracting text information.