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公开(公告)号：US20220398580A1
公开(公告)日：2022-12-15
申请号：US17806461
申请日：2022-06-10
Inventor： Chunhui WAN , Tong JIN
Abstract: Provided are a method and apparatus for operating a blockchain system, a device and a storage medium. The method is described below. To-be-processed blockchain data is acquired through a kernel engine of the blockchain system. The to-be-processed blockchain data is processed through the kernel engine, a consensus component call request is generated according to a consensus component interface during a processing process of the to-be-processed blockchain data, and a corresponding consensus component is called according to the consensus component call request, where the corresponding consensus component is configured to execute a consensus mechanism between blockchain nodes.
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公开(公告)号：US20220398244A1
公开(公告)日：2022-12-15
申请号：US17890366
申请日：2022-08-18
Inventor： Yanyan LI , Haoyi XIONG , Jiang BIAN , Zheng GONG , Ruyue MA , Dejing DOU
IPC: G06F16/242 , G06F16/28
Abstract: A query method is provided and includes: acquiring association records, in which the association record is configured to indicate an execution area, execution time and user attribute data of an execution user, of a behavior; splitting the association record into behavior records based on attribute items included in the user attribute data of the association record, in which the behavior record is configured to indicate a mapping relationship between at least one of the attribute items and the execution area-the execution time; grouping the behavior records to determine behavior statistics information of each group; in which behavior records having the same attribute item, the same execution area and the same execution time belong to the same group; and displaying behavior statistics information of a target group in response to a query operation.
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公开(公告)号：US20220392205A1
公开(公告)日：2022-12-08
申请号：US17892669
申请日：2022-08-22
Inventor： Yipeng SUN , Rongqiao AN , Xiang WEI , Longchao WANG , Kun YAO , Junyu HAN , Jingtuo LIU , Errui DING
Abstract: Embodiments of the present disclosure provide a method and apparatus for training an image recognition model based on a semantic enhancement, a method and apparatus for recognizing an image, an electronic device, and a computer readable storage medium. The method for training an image recognition model based on a semantic enhancement comprises: extracting, from an inputted first image being unannotated and having no textual description, a first feature representation of the first image; calculating a first loss function based on the first feature representation; extracting, from an inputted second image being unannotated and having an original textual description, a second feature representation of the second image; calculating a second loss function based on the second feature representation, and training an image recognition model based on a fusion of the first loss function and the second loss function.
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公开(公告)号：US20220392204A1
公开(公告)日：2022-12-08
申请号：US17891381
申请日：2022-08-19
IPC: G06V10/774 , G06V10/776
Abstract: A method of training a model, an electronic device, and a readable storage medium are provided, which relate to a field of artificial intelligence, in particular to computer vision and deep learning technologies, and specifically used in smart city and intelligent transportation scenarios. The method includes: determining a target pre-trained model; and performing an unsupervised training and/or a semi-supervised training on the target pre-trained model based on an image acquired by the target terminal, so as to obtain a first target trained model.
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公开(公告)号：US20220392199A1
公开(公告)日：2022-12-08
申请号：US17819777
申请日：2022-08-15
Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD. , State Key Laboratory of Internet of Things for Smart City (University of Macau)
Inventor： Kafeng WANG , Chengzhong XU , Haoyi XIONG , Xingjian LI , Dejing DOU
IPC: G06V10/774 , G06V10/764 , G06V10/82 , G06V10/778
Abstract: A method and an apparatus for training a classification model and data classification includes: obtaining a sample set and a pre-trained classification model, wherein the classification model includes at least two convolutional layers, each convolutional layer is connected to a classification layer through a fully connected layer; inputting the sample set into the classification model, and obtaining a prediction result output by each classification layer, wherein the prediction result includes a prediction probability of a class to which each sample belongs; calculating a probability threshold of each classification layer based on the prediction result output by each classification layer; setting a prediction stopping condition for the classification mode according to the probability threshold of each classification layer.
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Patent Agency Ranking
公开(公告)号：US20220391774A1
公开(公告)日：2022-12-08
申请号：US17887951
申请日：2022-08-15
Inventor： Feng XING , Xiang LAN , Liling NIU , Xiandong LIU , Yanjun MA , Dianhai YU , Haifeng WANG
Abstract: A method and apparatus for generating an operator are provided. The method includes: constructing a group of basic application programming interfaces for providing one of the following basic functions: an access function, a storage function, and a computing function; constructing a kernel application programming interface for invoking the basic application programming interfaces to implement an operator logic; and generating a target kernel operator based on the group of basic application programming interfaces and the kernel application programming interface.
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公开(公告)号：US20220391602A1
公开(公告)日：2022-12-08
申请号：US17820765
申请日：2022-08-18
Inventor： Haifeng WANG , Zhanyi LIU , Zhongjun HE , Hua WU , Zhi LI , Xing WAN , Jingxuan ZHAO , Ruiqing ZHANG , Chuanqiang ZHANG , Fengtao HUANG , Hanbing SONG , Wei DI , Shuangshuang CUI , Yongzheng XIN
Abstract: A display method, an electronic device, and a storage medium, which relate to a field of natural language processing and a field of display. The display method includes: acquiring a content to be displayed; extracting a target term from the content using a term extraction rule; acquiring an annotation information for at least one target term, responsive to an extraction of the at least one target term; and displaying the annotation information for the at least one target term and the content.
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778.发明申请公开(公告)号：US20220391587A1
公开(公告)日：2022-12-08
申请号：US17889074
申请日：2022-08-16
Inventor： Yuan Feng , Xiang Long , Honghui Zheng , Ying Xin , Bin Zhang , Chao Li , Xiaodi Wang , Yi Gu , Yunhao Wang , Yan Peng , Zhuang Jia , Shumin Han
IPC: G06F40/279 , G06V10/40 , G06F40/58 , G06F16/532 , G06F16/583
Abstract: A method of training an image-text retrieval model, a method of multimodal image retrieval, an electronic device and a storage medium, each relating to the technical field of artificial intelligence, and in particular, to fields of computer vision and deep learning technologies. Sample data including a sample text and a sample image is acquired. The sample text includes a sample text in a first language and a sample text in a second language. The sample text in the first language and the sample text in the second language are processed by using the text encoding sub-model to obtain a sample text feature of the sample data. The sample image is processed by using the image encoding sub-model to obtain a sample image feature of the sample data. The image-text retrieval model is trained according to the sample text feature and the sample image feature.
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公开(公告)号：US20220391260A1
公开(公告)日：2022-12-08
申请号：US17891627
申请日：2022-08-19
Inventor： Jialiang SONG
IPC: G06F9/50
Abstract: A method for creating a container, an apparatus for creating a container, a device, a medium, and a program product are provided. The method includes: acquiring a description file of a to-be-scheduled container group (Pod), where the description file of the Pod is used for describing resource demand information; determining, based on the description file of the to-be-scheduled Pod and idle resource information of each of work nodes, a target work node from the work nodes, and binding the to-be-scheduled Pod to the target work node; and sending a container runtime interface (CRI) request to a container engine, where the CRI request is used for instructing node to create a target container at the target work based on configuration information in the CRI request, and the configuration information is used for limiting an authority of the target container.
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780.发明申请公开(公告)号：US20220390249A1
公开(公告)日：2022-12-08
申请号：US17889252
申请日：2022-08-16
Inventor： Lingling LIU , Gaopeng MO , Wei Ma
Abstract: A method and apparatus for generating a direction identifying model, a device, a medium, and a program product are provided. The method includes: acquiring direction-targeted road test data corresponding to a target road, and a guide arrow sign and an accessible road-direction corresponding to the target road; and training a machine learning model by using the road test data and the guide arrow sign as an input of the direction identifying model, and using the accessible road-direction as an output of the direction identifying model, to obtain the direction identifying model.
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