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公开(公告)号:US20230049252A1
公开(公告)日:2023-02-16
申请号:US17974816
申请日:2022-10-27
Inventor: Zhaogeng LI , Gang CHENG
IPC: H04L47/125 , H04L43/0882
Abstract: A method for network transmission, a device, and a storage medium, which relate to a field of a computer technology, in particular to a field of a network transmission technology. The method includes: detecting current loads of a plurality of peer ports of a network node in a network; determining a target peer port with a largest current load from the plurality of peer ports; marking a message currently transmitted by the target peer port, so as to obtain a marked message; and sending the marked message to a terminal corresponding to the marked message or a server corresponding to the marked message.
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公开(公告)号:US11580136B2
公开(公告)日:2023-02-14
申请号:US17197116
申请日:2021-03-10
Inventor: Feiqiao Huang , Jianghong Lin
IPC: G06F16/28 , G06F16/2457 , G06F16/22
Abstract: The present disclosure provides a method of user clustering, and the method includes: acquiring a clustering condition for a predetermined user group, wherein the clustering condition includes a time selecting condition and an event selecting condition; determining at least one target time period for each user behavior data in a user behavior database based on the time selecting condition; determining association data indicating a relationship between the each user behavior data and each target time period based on the each user behavior data and the each target time period; and selecting target association data for a time period to be monitored based on the time period to be monitored and the event selecting condition, so as to determine a target user belonging to the predetermined user group according to the target association data. The present disclosure also provides an apparatus of user clustering, a computer device and a non-transitory medium.
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公开(公告)号:US20230043766A1
公开(公告)日:2023-02-09
申请号:US17875519
申请日:2022-07-28
Inventor: Ruizhi CHEN , Chen ZHAO
Abstract: An image processing method, an electronic device and a computer storage medium are provided, which relates to the fields of computer vision, augmented reality and artificial intelligence technologies. An implementation includes: acquiring a to-be-processed face image; reconstructing a face based on the to-be-processed face image to obtain a first blend coefficient vector based on a first blendshape base group; mapping the first blend coefficient vector to a second blendshape base group according to a pre-obtained coefficient mapping matrix between the first blendshape base group and the second blendshape base group to obtain a second blend coefficient vector based on the second blendshape base group; acquiring input face adjustment information, the face adjustment information including second blendshape base information; and obtaining a target face image based on the second blendshape base information and the second blend coefficient vector.
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公开(公告)号:US20230041943A1
公开(公告)日:2023-02-09
申请号:US17961930
申请日:2022-10-07
Inventor: Deguo XIA , Jizhou HUANG , Haifeng WANG
IPC: G01C21/00
Abstract: The present disclosure provides a method and apparatus for automatically producing map data. The method includes: performing track rectification on crowdsourcing tracks based on corresponding standard tracks, and locating each map element included, based on depth information of track point images included in the rectified crowdsourcing tracks; comparing a latest map element obtained based on the rectified crowdsourcing tracks locating and an old map element at a corresponding locating position using a pre-built entity semantic map; determining, in response to a change in the latest map element compared to the old map element, a target processing method according to a processing standard of a changed map element pre-abstracted from a map element update specification; and processing the latest map element according to the target processing method to obtain a processed latest map.
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公开(公告)号:US20230032324A1
公开(公告)日:2023-02-02
申请号:US17966127
申请日:2022-10-14
Inventor: Fan WANG , Hao TIAN , Haoyi XIONG , Hua WU , Jingzhou HE , Haifeng WANG
IPC: G06N20/00
Abstract: A method for training a decision-making model parameter, a decision determination method, an electronic device, and a non-transitory computer-readable storage medium are provided. In the method, a perturbation parameter is generated according to a meta-parameter, and first observation information of a primary training environment is acquired based on the perturbation parameter. According to the first observation information, an evaluation parameter of the perturbation parameter is determined. According to the perturbation parameter and the evaluation parameter thereof, an updated meta-parameter is generated. The updated meta-parameter is determined as a target meta-parameter, when it is determined, according to the meta-parameter and the updated meta-parameter, that a condition for stopping primary training is met. According to the target meta-parameter, a target memory parameter corresponding to a secondary training task is determined, where the target memory parameter and the target meta-parameter are used to make a decision corresponding to a prediction task.
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756.
公开(公告)号:US20230030736A1
公开(公告)日:2023-02-02
申请号:US17815546
申请日:2022-07-27
Inventor: Guohao GONG , Yingnan LIU , Ning YU , Jingjing XUE , Jing YAN , Yongchen LI , Shenglin QIN
Abstract: The present disclosure provides an autonomous driving vehicle control method and apparatus, an electronic device and a readable storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence technologies such as intelligent transportation and autonomous driving technologies. A specific implementation solution involves: constructing a communication link between an autonomous driving vehicle and a cloud; reporting, based on the communication link, emergency information provided by a passenger of the autonomous driving vehicle to the cloud; receiving control information of the autonomous driving vehicle fed back by the cloud, the control information of the autonomous driving vehicle being sent by the cloud in response to a trigger operation of an agent of the cloud based on the emergency information; and controlling the driving of the autonomous driving vehicle according to the control information of the autonomous driving vehicle.
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公开(公告)号:US20230030471A1
公开(公告)日:2023-02-02
申请号:US17698242
申请日:2022-03-18
Inventor: Jiaxiang LIU , Shikun FENG
IPC: G06F40/284
Abstract: The present disclosure provides a text processing method and apparatus, an electronic device and a storage medium, and relates to the field of artificial intelligence technologies such as deep learning and natural language processing. The method may include: configuring, for a to-be-processed text, attention patterns corresponding to heads in a Transformer model using a multi-head-attention mechanism respectively, wherein at least one head corresponds to a different attention pattern from the other N−1 heads, and N denotes a number of heads and is a positive integer greater than 1; and processing the text by using the Transformer model. Model performance and a corresponding text processing effect can be improved by using the solutions according to the present disclosure.
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公开(公告)号:US20230027813A1
公开(公告)日:2023-01-26
申请号:US17936570
申请日:2022-09-29
Inventor: Xipeng YANG , Xiao TAN , Hao SUN , Errui DING
Abstract: An object detecting method includes: obtaining an object image of an object; obtaining an object feature map by performing feature extraction on the object image; obtaining decoded features by performing feature mapping on the object feature map by adopting a mapping network of an object recognition model; obtaining positions of prediction boxes by inputting the decoded features into a first prediction layer of the object recognition model to perform object regression prediction; and obtaining classes of objects within the prediction boxes by inputting the decoded features into a second prediction layer of the object recognition model to perform object class prediction.
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公开(公告)号:US20230023789A1
公开(公告)日:2023-01-26
申请号:US17956558
申请日:2022-09-29
Inventor: Huapeng QIN , Min ZHAO , Guoxin ZHANG
Abstract: The method for identifying noise samples, includes: obtaining an original sample set; obtaining a target sample set by adding masks to original training corpora in the original sample set using a preset adjustment rule; performing mask prediction on a plurality of target training corpora in the target sample set using a pre-trained language model to obtain a first mask prediction character corresponding to each target training corpus; matching the first mask prediction character corresponding to each target training corpus with a preset condition; and according to target training corpora of which first mask prediction characters do not match the preset condition in the target sample set, determining corresponding original training corpora in the original sample set as noise samples.
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公开(公告)号:US20230017578A1
公开(公告)日:2023-01-19
申请号:US17935712
申请日:2022-09-27
Inventor: Xiangbo Su , Jian Wang , Hao Sun
IPC: G06T7/70 , G06V10/44 , G06V10/764 , G06V10/771 , G06V10/80
Abstract: An image processing and model training methods, an electronic device, and a storage medium are provided, and relate to the technical field of artificial intelligence, and in particular to the technical fields of computer vision and deep learning, which can be specifically applied to smart cities and intelligent cloud scenes. The image processing method includes: obtaining at least one first feature map of an image to be processed, wherein feature data of a target pixel in the first feature map is generated according to the target pixel and another pixel within a set range around the target pixel; determining a classification to which the target pixel belongs according to the feature data of the target pixel; and determining a target object corresponding to the target pixel and association information of the target object according to the classification to which the target pixel belongs.
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