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公开(公告)号：US20240273297A1
公开(公告)日：2024-08-15
申请号：US18642593
申请日：2024-04-22
Inventor： Yu LI , Jiawei ZHENG , Xinjiang LU , Hongwei XIE , Xuejiao LIN , Jingbo ZHOU
IPC: G06F40/295
CPC classification number: G06F40/295
Abstract: An entity recognition method, a model training method, an electronic device, and a medium, which relate to fields of artificial intelligence, information acquiring technologies. The entity recognition method includes: extracting specified entities from a text in a source file of a webpage to be recognized, and acquiring a text encoding result for each specified entity; determining a text block formed by each specified entity in the webpage, and encoding a relative layout information between each two text blocks, to obtain a position encoding result; constructing a triple by the position encoding result for each two text blocks and the text encoding results for respective specified entities of the two text blocks; and performing a graph convolution on each triple to obtain a relation recognition result for the webpage to be recognized, where the relation recognition result indicates whether an association exists between each two text blocks in the webpage.
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公开(公告)号：US20240265687A1
公开(公告)日：2024-08-08
申请号：US18020396
申请日：2022-04-22
Inventor： Bi LI , Nan PENG , Teng XI , Gang ZHANG
CPC classification number: G06V10/806 , G06V10/7715
Abstract: A method of fusing an image feature, an electronic device, and a storage medium are provided, which relate to the field of artificial intelligence, in particular to fields of computer vision and depth learning, and may be applied to scenarios such as image processing and image recognition. The method includes: inputting an image into a first image processing model among N serially connected image processing models, to obtain an output feature of the first image processing model, an i-th image processing model includes a first shared layer to an i-th shared layer, i=1, . . . , N, and N is a natural number greater than or equal to 2; inputting an output feature of a j-th image processing model into a (j+1)-th image processing model, to obtain an output feature of the (j+1)-th image processing model, j=1, . . . , N−1; and fusing the output features of the N image processing models.
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公开(公告)号：US20240246549A1
公开(公告)日：2024-07-25
申请号：US18003017
申请日：2022-11-28
Inventor： Shu JIANG , Hao LIU , Szu-Hao WU , Fuyang ZHAO , Xiaoyi ZHU , Haofeng KOU , Helen K. PAN
CPC classification number: B60W50/045 , B60W60/00 , B60W2050/0022 , B60W2520/10 , B60W2520/105 , B60W2556/10
Abstract: In one embodiment, a microcontroller unit (MCU) receives an expected state of an autonomous driving vehicle (ADV) from a controller of the ADV, where the controller controls motions of the ADV using a control algorithm. The MCU receives sensor data from one or more sensors of the ADV. The MCU determine an actual state of the ADV based on the sensor data. The MCU determines a performance metric of the control algorithm based on the expected state and the actual state. In response to determining the performance metric has satisfied a predetermined condition, the MCU determines a plurality of weight values for the control algorithm. The MCU sends the plurality of weight values to the control system to tune one or more weight parameters of the control algorithm using the plurality of weight values, where the controller controls the ADV using the tuned control algorithm.
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64.发明授权公开(公告)号：US12038989B2
公开(公告)日：2024-07-16
申请号：US18148775
申请日：2022-12-30
Inventor： Zheng Dong , Peng Wang , Xin Song , Hengshu Zhu , Kaichun Yao
IPC: G06F16/00 , G06F16/9536 , G06N3/092
CPC classification number: G06F16/9536 , G06N3/092
Abstract: A method for community search is performed by an electronic device. The method includes: obtaining graph data to be processed, in which the graph data includes a plurality of nodes and a plurality of connection edges between the nodes; determining a query node from the plurality of nodes based on the graph data, and determining a target community to which the query node belongs by performing a community search for the query node, in which the target community includes the query node, and at least one node other than the query node in the plurality of nodes; and determining the query node and performing the community search for the query node repeatedly until the community to which each node included in the graph data belongs is determined.
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公开(公告)号：US12033256B2
公开(公告)日：2024-07-09
申请号：US17851484
申请日：2022-06-28
Inventor： Kailong Yan , Juntao Tong , Changjun Sheng , Yingjie Niu
CPC classification number: G06T11/60 , G01C21/3878 , G06F16/29
Abstract: The present disclosure provides a map data processing method, an electronic device and a storage medium, relates to a technical field of data processing, and in particular to the field of map data processing. A specific implementation solution is as follows: receiving first data encapsulated in a form of offline data, the first data being used to characterize low-frequency data in the map data; obtaining second data after initiating a first online request, the second data being used to characterize high-frequency data in the map data; and performing merging processing on the first data and the second data to obtain target data to be displayed in a map. By adopting the present disclosure, the timeliness of map data display may be improved.
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Patent Agency Ranking
66.发明授权公开(公告)号：US12032477B2
公开(公告)日：2024-07-09
申请号：US17856091
申请日：2022-07-01
Inventor： Tian Wu , Yanjun Ma , Dianhai Yu , Yehua Yang , Yuning Du
CPC classification number: G06F11/3688 , G06N3/08
Abstract: A method and apparatus is provided for generating and applying a deep learning model based on a deep learning framework, and relates to the field of computers. A specific implementation solution includes that a basic operating environment is established on a target device, where the basic operating environment is used for providing environment preparation for an overall generation process of a deep learning model; a basic function of the deep learning model is generated in the basic operating environment according to at least one of a service requirement and a hardware requirement, to obtain a first processing result; an extended function of the deep learning model is generated in the basic operating environment based on the first processing result, to obtain a second processing result; and a preset test script is used to perform function test on the second processing result, to output a test result.
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公开(公告)号：US20240221215A1
公开(公告)日：2024-07-04
申请号：US18605423
申请日：2024-03-14
Inventor： Yuzhe HE , Shuang LIANG , Xiaofei RUI , Chengying CAI , Guowei WAN , Ye ZHANG
CPC classification number: G06T7/75 , G06V10/7715 , G06V10/80 , G06T2207/10028 , G06T2207/20221
Abstract: A method is provided that includes: obtaining an initial pose of a vehicle, a multi-modal sensor data of the vehicle, and a plurality of map elements for positioning the vehicle; encoding the multi-modal sensor data to obtain an environmental feature; encoding the plurality of map elements to obtain a map feature; determining, based on the environmental feature and the map feature, a target pose offset for correcting the initial pose; and superimposing the initial pose and the target pose offset to obtain a corrected pose of the vehicle.
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公开(公告)号：US20240211609A1
公开(公告)日：2024-06-27
申请号：US17915705
申请日：2022-03-22
Inventor： Shuangyan YUE , Zhongkai FAN
CPC classification number: G06F21/602 , G06F21/64
Abstract: A method of protecting a model, which relates to a field of computer, a field of artificial intelligence, and may be applied to an AI model protection scenarios. The method includes: generating a WASM file for providing a runtime environment for a target model, the WASM file containing a corresponding model inference algorithm and security verification algorithm, wherein the security verification algorithm is configured to perform at least one security verification operation to protect the target model, the at least one security verification operation is selected from: a verification of a host environment; a verification of an integrity of the WASM file; a verification of an integrity of the model file generated corresponding to an original model file of the target model; a timeout verification of a specified inference process during a model inference process; or a timeout verification of an entire inference process during the model inference process.
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公开(公告)号：US20240211126A1
公开(公告)日：2024-06-27
申请号：US17760344
申请日：2021-12-02
Inventor： Houqiang Zhu , Pengfei Wei
IPC: G06F3/0488 , B60W50/00
CPC classification number: G06F3/0488 , B60W50/0098
Abstract: A human-machine interaction method, includes: determining a target controlled object corresponding to a first gesture in a first area of a touch pad in response to detecting the first gesture in the first area; determining a target control mode corresponding to a second gesture in a second area of the touch pad in response to detecting the second gesture in the second area; and controlling the target controlled object based on the target control mode.
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公开(公告)号：US12019592B2
公开(公告)日：2024-06-25
申请号：US17678648
申请日：2022-02-23
Inventor： Yongqiang Yang
IPC: G06F16/182 , G06F16/13 , H04L67/1097
CPC classification number: G06F16/183 , G06F16/134 , H04L67/1097
Abstract: A file moving method, an electronic device, and a computer-readable storage medium are provided. An implementation includes: in response to receiving a file moving request, determining a source path and a destination path corresponding to a first moving operation corresponding to the request; determining whether the source path and the destination path corresponding to the first moving operation exist; in response to determining that both the source path and the destination path corresponding to the first moving operation exist, comparing at least one of the source path and the destination path corresponding to the first moving operation with a corresponding path of a source path and a destination path corresponding to the second moving operation; and determining, based on a result of the comparing, whether the first moving operation is to be performed.
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