公开(公告)号：US11954449B2

公开(公告)日：2024-04-09

申请号：US17475073

申请日：2021-09-14

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

Inventor： Fan Wang ,  Siqi Bao ,  Xinxian Huang ,  Hua Wu ,  Jingzhou He

IPC: G06F40/40 ,  G06F16/33 ,  G06F16/332 ,  G06N7/01 ,  G10L15/22

CPC classification number: G06F40/40 ,  G06F16/3329 ,  G06F16/3344 ,  G06N7/01 ,  G10L15/22

Abstract: The disclosure discloses a method for generating a conversation, an electronic device, and a storage medium. The detailed implementation includes: obtaining a current conversation and historical conversations of the current conversation; selecting multiple reference historical conversations from the historical conversations and adding the multiple reference historical conversations to a temporary conversation set; and generating reply information of the current conversation based on the current conversation and the temporary conversation set.

公开(公告)号：US11940803B2

公开(公告)日：2024-03-26

申请号：US17216208

申请日：2021-03-29

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

Inventor： Teng Zhang

IPC: G05D1/02 ,  B60W60/00 ,  G05D1/00 ,  G06N5/04 ,  G06N20/00

CPC classification number: G05D1/0221 ,  B60W60/001 ,  G05D1/0246 ,  G06N5/04 ,  G06N20/00 ,  B60W2420/42 ,  B60W2554/20 ,  B60W2554/402 ,  B60W2554/4029 ,  B60W2555/60

Abstract: A method for training a trajectory planning model, an apparatus, and computer storage medium are provided. The method may include: obtaining an image of a physical environment in which a vehicle is located via at least one sensor of the vehicle, the image including multiple objects surrounding the vehicle; obtaining a feature chart indicating multiple initial trajectory points of the vehicle in the image from a trajectory planning model based on the image; identifying the image to determine in the image a first area associated with a road object in multiple objects and a second area associated with a non-road object in the multiple objects; determining a planning trajectory point based on positional relationship of the multiple initial trajectory points with respect to the first area and the second area; and training a trajectory planning model based on the planning track point and the actual trajectory point of the vehicle.

公开(公告)号：US11933893B2

公开(公告)日：2024-03-19

申请号：US17278646

申请日：2019-12-23

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

Inventor： Xiaoxing Zhu ,  Xiang Liu ,  Fan Yang

IPC: G01S15/931 ,  G01S7/521 ,  G01S7/53

CPC classification number: G01S15/931 ,  G01S7/521 ,  G01S7/53 ,  G01S2015/938

Abstract: The present disclosure provides an ultrasonic radar array, an obstacle detection method and system. The method includes: obtaining obstacle information collected by ultrasonic radars in an ultrasonic radar array in an obstacle scenario; judging false detection and missed detection for the obstacle information collected by ultrasonic radars according a preset rule; processing the obstacle information collected by the ultrasonic radars according to the judgement result; determining a position of the obstacle according to the processed obstacle information collected by the ultrasonic radars.

公开(公告)号：US11928435B2

公开(公告)日：2024-03-12

申请号：US17034394

申请日：2020-09-28

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

Inventor： Lu Pan ,  Yuguang Chen ,  Fayuan Li ,  Cuiyun Han ,  Yuanzhen Liu ,  Jiayan Huang

IPC: G06F40/30 ,  G06F18/21 ,  G06F18/2113 ,  G06F18/213 ,  G06F18/25 ,  G06F40/284

CPC classification number: G06F40/30 ,  G06F18/2113 ,  G06F18/213 ,  G06F18/2163 ,  G06F18/253 ,  G06F40/284

Abstract: The present disclosure provides an event extraction method, an event extraction device and an electronic device, and it relates to the field of computer data processing, in particular to the field of knowledge graph. The event extraction method includes: acquiring text information; determining a plurality of pieces of question information ranked in a sequential order in accordance with the text information; and inputting vector information for each piece of question information into an extraction model in accordance with the sequential order to acquire extraction information for each piece of question information.

公开(公告)号：US11915484B2

公开(公告)日：2024-02-27

申请号：US17304296

申请日：2021-06-17

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

Inventor： Zhigang Wang ,  Jian Wang ,  Errui Ding ,  Hao Sun

IPC: G06K9/46 ,  G06K9/62 ,  G06V20/52 ,  G06F18/23 ,  G06F18/214 ,  G06F18/21 ,  G06V10/762 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V20/64 ,  G06V40/10

CPC classification number: G06V20/52 ,  G06F18/214 ,  G06F18/2178 ,  G06F18/23 ,  G06V10/762 ,  G06V10/764 ,  G06V10/7753 ,  G06V10/82 ,  G06V20/64 ,  G06V40/10 ,  G06V2201/07

Abstract: A method, an apparatus, device and a storage medium for generating a target re-recognition model are provided. The method may include: acquiring a set of labeled samples, a set of unlabeled samples and an initialization model obtained through supervised training; performing feature extraction on each sample in the set of the unlabeled samples by using the initialization model; clustering features extracted from the set of the unlabeled samples by using a clustering algorithm; assigning, for each sample in the set of the unlabeled samples, a pseudo label to the sample according to a cluster corresponding to the sample in a feature space; and mixing a set of samples with a pseudo label and the set of the labeled samples as a set of training samples, and performing supervised training on the initialization model to obtain a target re-recognition model.

公开(公告)号：US11914964B2

公开(公告)日：2024-02-27

申请号：US17209124

申请日：2021-03-22

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

Inventor： Shuohuan Wang ,  Jiaxiang Liu ,  Xuan Ouyang ,  Yu Sun ,  Hua Wu ,  Haifeng Wang

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

CPC classification number: G06F40/30 ,  G06N5/04 ,  G06N20/00

Abstract: The present application discloses a method and apparatus for training a semantic representation model, a device and a computer storage medium, which relates to the field of natural language processing technologies in artificial intelligence. An implementation includes: acquiring a semantic representation model which has been trained for a first language as a first semantic representation model; taking a bottom layer and a top layer of the first semantic representation model as trained layers, initializing the trained layers, keeping model parameters of other layers unchanged, and training the trained layers using training language materials of a second language until a training ending condition is met; successively bringing the untrained layers into the trained layers from bottom to top, and executing these layers respectively: keeping the model parameters of other layers than the trained layers unchanged, and training the trained layers using the training language materials of the second language until the training ending condition is met respectively; and obtaining a semantic representation model for the second language after all the layers are trained.

公开(公告)号：US20240054107A1

公开(公告)日：2024-02-15

申请号：US17641370

申请日：2021-07-23

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

Inventor： Yongchang MIAO

IPC: G06F16/182

CPC classification number: G06F16/182

Abstract: A file processing method, an electronic device and a storage medium are provided, which relate to the field of cloud computing. The method includes: determining a container, corresponding to container scheduling group information, in a target node based on the container scheduling group information corresponding to a file operation request received by the target node; determining a file path of the container by using a node directory of the target node; and performing an operation on a file under the file path, according to the file operation request.

公开(公告)号：US11881050B2

公开(公告)日：2024-01-23

申请号：US17347854

申请日：2021-06-15

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

Inventor： Keyao Wang ,  Haocheng Feng ,  Haixiao Yue

IPC: G06V40/00 ,  G06V40/16 ,  G06T7/73 ,  G06N3/08 ,  G06V40/40 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82

CPC classification number: G06V40/168 ,  G06N3/08 ,  G06T7/74 ,  G06V10/764 ,  G06V10/806 ,  G06V10/82 ,  G06V40/162 ,  G06V40/165 ,  G06V40/40 ,  G06V40/45 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06T2207/30201

Abstract: A method for detecting a face synthetic image, an electronic device and a storage medium are provided. The technical solution includes inputting a face image to be detected into a pre-trained convolution neural network to obtain a raw image feature of the face image; inputting the raw image feature into a first full connected layer and a second full connected layer respectively to obtain a first feature vector corresponding to a face key point of the face image and a second feature vector corresponding to the face image; merging the first feature vector and the second feature vector to obtain a merged feature vector; inputting the merged feature vector to a third full connected layer to obtain a detection result of the face image.

公开(公告)号：US11861919B2

公开(公告)日：2024-01-02

申请号：US17352668

申请日：2021-06-21

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

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

IPC: G06V20/00 ,  G06V20/62 ,  G06N3/08 ,  G06V30/262 ,  G06V20/58 ,  G06V30/148 ,  G06N3/045 ,  G06V30/28 ,  G06V30/10

CPC classification number: G06V20/62 ,  G06N3/045 ,  G06N3/08 ,  G06V20/582 ,  G06V20/63 ,  G06V30/153 ,  G06V30/262 ,  G06V30/274 ,  G06V30/10 ,  G06V30/287 ,  G06V30/293

Abstract: A text recognition method includes: acquiring an image including text information, the text information including M characters, M being a positive integer greater than 1; performing text recognition on the image to acquire character information about the M characters; recognizing reading direction information about each character in accordance with the character information about the M characters, the reading direction information being used to indicate a next character corresponding to a current character in a semantic reading order; and ranking the M characters in accordance with the reading direction information about the M characters to acquire a text recognition result of the text information.

公开(公告)号：US20230409626A1

公开(公告)日：2023-12-21

申请号：US17754464

申请日：2021-07-20

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

Inventor： Jizhou Huang ,  Yibo Sun ,  Haifeng Wang

IPC: G06F16/387 ,  G06F40/295

CPC classification number: G06F16/387 ,  G06F40/295

Abstract: The present disclosure discloses a method and apparatus for acquiring point of interest (POI) state information, and relates to a big data technology in the technical field of artificial intelligence. A specific implementation scheme involves: acquiring a text including POI information within a preset period from the Internet; and recognizing the text by using a pre-trained POI state recognition model, to obtain a two-tuple in the text, the two-tuple including a POI name and POI state information corresponding to the POI name The POI state recognition model acquires a vector representation of each first semantic unit in the text, and acquires a vector representation of each second semantic unit in the text based on semantic dependency information of the text; fuses the vector representation of each first semantic unit and the vector representation of each second semantic unit to obtain a fusion vector representation of each first semantic unit; and predicts labels of the POI name and a POI state based on the fusion vector representation of each first semantic unit. The technical solutions of the present disclosure can save labor costs and improve timeliness and accuracy.