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公开(公告)号：US20230230205A1
公开(公告)日：2023-07-20
申请号：US18155901
申请日：2023-01-18
Inventor： Xin Li , Dongliang He , Qi Zhang
CPC classification number: G06T5/001 , G06T3/40 , G06T2207/20081 , G06T2207/20084 , G06T2207/20016 , G06T2207/10024
Abstract: Provided are an image enhancement method and apparatus, an electronic device, and a storage medium. The image enhancement method includes: acquiring an original image, and configuring the original image as a current image; selecting a renderer from a plurality of pre-trained renderers as a current renderer in response to the current image satisfying a preset enhancement condition; and inputting the current image to the current renderer, and outputting, through the current renderer, an enhanced image of the current image in a dimension corresponding to the current renderer; and repeating the preceding operation by configuring the enhanced image of the current image in the dimension corresponding to the current renderer as the current image until the current image does not satisfy the enhancement condition.
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公开(公告)号：US20230230035A1
公开(公告)日：2023-07-20
申请号：US17940544
申请日：2022-09-08
Inventor： Peng WANG , Zheng DONG , Hengshu ZHU , Xin SONG , Jing WANG , Jingshuai ZHANG
CPC classification number: G06Q10/101 , G06K9/6276 , G06K9/6272 , G06K9/6215 , G06Q50/01
Abstract: The present disclosure provides a method and apparatus for constructing an organizational collaboration network, and relates to the field of artificial intelligence, and particularly to the field of big data analysis. A specific implementation includes: acquiring collaborative data between at least one pair of organizations; calculating at least one collaboration index between each pair of organizations according to the collaborative data; calculating, for each pair of organizations, a degree of closeness between the pair of organizations according to a weighted sum of the at least one collaboration index between the pair of organizations; and using each organization as a node, a relationship between each pair of organizations as an edge, and the degree of closeness between each pair of organizations as a weight of the edge, to construct the organizational collaboration network.
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公开(公告)号：US20230217406A1
公开(公告)日：2023-07-06
申请号：US18174771
申请日：2023-02-27
IPC: H04W64/00
CPC classification number: H04W64/003
Abstract: The present disclosure provides a signal processing method and apparatus, a device, and a storage medium. The method includes: acquiring a signal set to be processed that carries base station information and base station access time; determining a first signal subset that further carries position information in the signal set to be processed; determining position information of a base station of a first type deployed in a subway station according to the base station information and the position information that are carried by the signal of the first signal subset; and determining position information of a base station of a second type deployed in a subway tunnel according to the position information of the base station of the first type, and the base station information and base station access time that are carried by the signal of the signal set to be processed.
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684.发明公开公开(公告)号：US20230215148A1
公开(公告)日：2023-07-06
申请号：US18183590
申请日：2023-03-14
Inventor： Shuilong DONG , Sensen HE , Shengyu WEI , Cheng CUI , Yuning DU , Tingquan GAO , Shao ZENG , Ying ZHOU , Xueying LYU , Yi LIU , Qiao ZHAO , Qiwen LIU , Ran BI , Xiaoguang HU , Dianhai YU , Yanjun MA
IPC: G06V10/774 , G06V10/40 , G06V10/74 , G06V10/764 , G06V10/776 , G06V10/778
CPC classification number: G06V10/774 , G06V10/40 , G06V10/761 , G06V10/764 , G06V10/776 , G06V10/7784
Abstract: The present disclosure provides a method for training a feature extraction model, a method for classifying an image and related apparatuses, and relates to the field of artificial intelligence technology such as deep learning and image recognition. The scheme comprises: extracting an image feature of each sample image in a sample image set using a basic feature extraction module of an initial feature extraction model, to obtain an initial feature vector set; performing normalization processing on each initial feature vector in the initial feature vector set using a normalization processing module of the initial feature extraction model, to obtain each normalized feature vector; and guiding training for the initial feature extraction model through a preset high discriminative loss function, to obtain a target feature extraction model as a training result.
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685.发明公开公开(公告)号：US20230213343A1
公开(公告)日：2023-07-06
申请号：US18076942
申请日：2022-12-07
Inventor： Feng CHENG , Wenjie LIU , Xiaochen QIU , Guoliang XU , Renlan CAI
IPC: G01C21/28
CPC classification number: G01C21/28
Abstract: The present disclosure provides a method for obtaining confidence of a measurement value based on multi-sensor fusion and an autonomous vehicle, which includes that: a first measurement value position of a positioning component on a target vehicle is determined at a first moment, and a second measurement value position of the positioning component is determined at a second moment, where the first moment is earlier than the second moment; first distance information is acquired according to the first measurement value position and the second measurement value position; inertial measurement information and wheel speedometer information of the target vehicle from the first moment to the second moment are determined; second distance information is acquired based on the inertial measurement information and the wheel speedometer information; and confidence of a target measurement value corresponding to the second moment is acquired according to the first distance information and the second distance information.
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Patent Agency Ranking
公开(公告)号：US11694405B2
公开(公告)日：2023-07-04
申请号：US17492646
申请日：2021-10-03
Inventor： Guocai Bai , Jiankang Xin
Abstract: A method for displaying annotation information, an electronic device and a storage medium, related to the field of computers and image information processing, are provided. The method includes: acquiring depth information and annotation information of a target region in a first image at a first angle of view; establishing an association relationship between the depth information and the annotation information; and in a case that a second image at a second angle of view is acquired, determining a display region of the target region in the second image based on the depth information, and displaying, in the display region in the second image, the annotation information of the target region based on the association relationship. Thereby, the cross-image display of the annotation information of the target region with the depth information can be realized.
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公开(公告)号：US20230206943A1
公开(公告)日：2023-06-29
申请号：US17891596
申请日：2022-08-19
Inventor： Wenjie Li , Zhanjie Gao , Lei Jia
Abstract: An audio recognizing method, including: performing acoustic feature prediction on the audio to be recognized to obtain first audio prediction result and an acoustic feature reference quantity for predicting an audio recognition result; obtaining second audio prediction result based on the acoustic feature reference quantity; and determining the audio recognition result of the audio to be recognized based on the first audio prediction result and the second audio prediction result, the audio recognition result including unvoiced sound or voiced sound. When determining that the audio is unvoiced sound or voiced sound, the first audio prediction result obtained by performing acoustic feature prediction on the audio to be recognized is used, and the second audio prediction result is obtained in combination with other acoustic feature reference quantities, thereby making the determination result of unvoiced sound or voiced sound of the audio more accurate, to improve the audio quality in speech processing.
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公开(公告)号：US20230206556A1
公开(公告)日：2023-06-29
申请号：US18116571
申请日：2023-03-02
Inventor： Daochen CHONG , Feng TIAN , Baofeng MA , Yao LUO , Tianxiong DUAN , Xingtao WANG , Bu WANG , Yuqi XIA , Yuting LIU
CPC classification number: G06T17/05 , G06T7/174 , G06T7/70 , G06T17/205 , G06T2207/10028 , G06T2207/30236 , G06T2207/30244 , G06T2207/30252 , G06T2210/56 , G06T2207/20021
Abstract: A method of processing map data, an electronic device, and a storage medium, which relate to a field of a computer technology, in particular to fields of intelligent transportation technology, image processing technology, etc. The method of processing the map data includes: processing sensor data for a traffic object to obtain point cloud data for the traffic object, where the sensor data includes image data; obtaining mesh data based on the point cloud data; processing the image data based on an association between the mesh data and the image data, so as to obtain processed image data; and obtaining the map data for the traffic object based on the processed image data.
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公开(公告)号：US20230206554A1
公开(公告)日：2023-06-29
申请号：US17929245
申请日：2022-09-01
Inventor： Xiaobo WAN , Yueqiang DONG , Kang WANG , Xianpeng MENG
IPC: G06T17/05
CPC classification number: G06T17/05
Abstract: A mapping method, an electronic device and a readable storage medium, which relate to the fields of map generation technologies, indoor localization technologies, are disclosed. The mapping method includes: acquiring current frame point cloud data of a target scenario to obtain a submap sequence and an active submap corresponding to the current frame point cloud data; acquiring initial posture data of the current frame point cloud data, and obtaining target posture data of the current frame point cloud data according to the initial posture data and the active submap; obtaining at least one posture constraint condition according to the target posture data of the current frame point cloud data and the submap sequence; and performing posture optimization on the submap sequence according to the at least one posture constraint condition, and obtaining a mapping result of the target scenario according to the submap sequence after the posture optimization.
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690.发明公开公开(公告)号：US20230206007A1
公开(公告)日：2023-06-29
申请号：US18179521
申请日：2023-03-07
IPC: G06F40/30 , G06F16/332 , G06F16/335 , G06F16/35
CPC classification number: G06F40/30 , G06F16/35 , G06F16/335 , G06F16/3329
Abstract: In a method for mining a conversation content, conversation to be mined is obtained. The conversation to be mined includes a platform conversation content. A user profile and a product profile corresponding to the conversation to be mined are obtained. The conversation to be mined is divided into a plurality types of semantic units. Clustered platform conversation contents are generated by clustering the platform conversation content based on intents of the platform conversation content corresponding to the plurality types of semantic units, the user profile and the product profile. Intents of the platform conversation content corresponding to the same type of semantic units are the same or similar. A target conversation content in the clustered platform conversation contents is determined based on the clustered platform conversation contents and a conversation content evaluation model.
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