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公开(公告)号:US11907671B2
公开(公告)日:2024-02-20
申请号:US17450595
申请日:2021-10-12
Inventor: Zhenglin Pan , Jie Bai , Yi Wang
IPC: G06F40/35 , G06F16/33 , G06F16/35 , G06F40/279
CPC classification number: G06F40/35 , G06F16/3334 , G06F16/35 , G06F40/279
Abstract: The disclosure provides a role labeling method. The method includes: obtaining a dialogue sentence to be labeled and context information corresponding to the dialogue sentence, and splicing the context information and the dialogue sentence to obtain a spliced text; extracting location information of a role name of the dialogue sentence in the spliced text from the spliced text; determining a first candidate role name of the dialogue sentence based on the location information; determining a second candidate role name of the dialogue sentence from role names in the spliced text; and determining a target role name of the dialogue sentence based on the first candidate role name and the second candidate role name, and performing role labeling on the dialogue sentence based on the target role name.
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362.
公开(公告)号:US11902346B2
公开(公告)日:2024-02-13
申请号:US17975677
申请日:2022-10-28
Inventor: Shuo Li , Xuechao Wei , Yonggao Fu , Jiabing Leng , Yawen Liu , Mingfa Zhu , Feng Huang
IPC: H04L65/61 , H04L65/1073
CPC classification number: H04L65/61 , H04L65/1073
Abstract: The present disclosure provides a method and apparatus for processing a streaming media service, an electronic device, and a storage medium, and relates to the technical field of computers, particularly to technical fields such as industrial vision, deep learning, streaming media, and information flow. A specific implementation solution involves: acquiring registration information of an input source, the registration information including process information of a streaming media service process of the input source and streaming media address information of the input source; enabling the streaming media service process according to the process information; and controlling, by using the streaming media address information, the streaming media service process to process streaming media data of the input source.
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公开(公告)号:US20240046140A1
公开(公告)日:2024-02-08
申请号:US18193916
申请日:2023-03-31
Inventor: Yuxuan WANG , Lijing JIN
Abstract: Provided is a simulation method, electronic device, and storage medium relating to the field quantum computers and quantum simulation. The simulation method can include obtaining a first normal mode frequency of a first target device with adjustable frequency among at least two devices of a quantum chip layout through simulation; determining resonance-related information of the first target device and a second target device in a resonant state among the at least two devices; where the second target device is a device with adjustable or non-adjustable frequency among the at least two devices; and obtaining a target coupling strength between the first and second target devices based on the first normal mode frequency of the first target device and the resonance-related information.
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364.
公开(公告)号:US11893977B2
公开(公告)日:2024-02-06
申请号:US17530276
申请日:2021-11-18
Inventor: Zhijian Wang , Sheng Qian , Qi Zhang
IPC: G10L15/183 , G10L15/00 , G10L15/32
CPC classification number: G10L15/005 , G10L15/183 , G10L15/32
Abstract: A method for recognizing a Chinese-English mixed speech, includes: determining pronunciation information and scores of a language model, of speech information, in response to receiving the speech information; determining whether an English word exists in content of the speech information based on the pronunciation information; determining a Chinese word corresponding to the English word based on a preset Chinese-English mapping table in response to the English word existing in the content of the speech information, in which the Chinese-English mapping table includes a mapping relationship of at least one pair of English word and Chinese word; determining a score of the Chinese word corresponding to the English word; replacing a score of the English word in the scores of the language model with the score of the Chinese word; and obtaining a speech recognition result for the speech information based on the replaced scores of the language model.
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公开(公告)号:US11893708B2
公开(公告)日:2024-02-06
申请号:US17505889
申请日:2021-10-20
Inventor: Jian Wang , Xiang Long , Hao Sun , Zhiyong Jin , Errui Ding
IPC: G06K9/00 , G06T3/40 , G06F18/213 , G06F18/25 , G06N3/045
CPC classification number: G06T3/4046 , G06F18/213 , G06F18/253 , G06N3/045
Abstract: Provided are an image processing method and apparatus, a device, and a storage medium, relating to the technical field of image processing, in particular to the artificial intelligence fields such as computer vision and deep learning. The specific implementation scheme is as follows: inputting a to-be-processed image into an encoding network to obtain a basic image feature, wherein the encoding network includes at least two cascaded overlapping encoding sub-networks which perform encoding and fusion processing on input data at at least two resolutions; and inputting the basic image feature into a decoding network to obtain a target image feature for pixel point classification, wherein the decoding network includes at least one cascaded overlapping decoding sub-network to perform decoding and fusion processing on input data at at least two resolutions respectively.
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366.
公开(公告)号:US11893685B2
公开(公告)日:2024-02-06
申请号:US17755172
申请日:2021-11-17
Inventor: Junjun Zhang , Yi Zeng , Xiaopei Hou
IPC: G06T17/05 , G06V10/764 , G06V10/46 , G06T3/40 , G06T5/50
CPC classification number: G06T17/05 , G06T3/40 , G06T5/50 , G06V10/46 , G06V10/764 , G06T2207/20221
Abstract: The present disclosure provides a landform map building method and apparatus, an electronic device and a readable storage medium, and relates to the field of image processing technologies. The method for building landform map includes: acquiring a to-be-processed image to obtain a grayscale image of the to-be-processed image; classifying pixels in the grayscale image according to grayscale values to obtain binary images corresponding to different landform categories; extracting image spot contours of image spots in the binary images, and taking the extracted image spot contours as vector graphs to obtain a vector graph set; merging, according to position information, the vector graphs corresponding to a same landform category in the vector graph set, and obtaining a first landform map according to merging results corresponding to different landform categories; and mapping, by using a preset landform type, the vector graphs corresponding to different landform categories in the first landform map, and taking a mapping result as a second landform map.
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公开(公告)号:US11893081B2
公开(公告)日:2024-02-06
申请号:US17485776
申请日:2021-09-27
IPC: G06V10/00 , G06F18/2137 , G06V10/48 , G06T15/20
CPC classification number: G06F18/21375 , G06T15/205 , G06V10/48
Abstract: This application discloses a map display method and apparatus, where the method includes: obtaining an initial image, where a first road is included in the initial image. The initial image is divided into a first sub-image and a second sub-image, where the first road is not included in the first sub-image, and the first road is included in the second sub-image. The first sub-image is mapped to a first plane of a transition model, and the second sub-image is mapped to a second plane of the transition model, where there is an included angle between the first plane and the second plane, and the first plane is parallel to a screen of a display device. The second plane is controlled to move by means of the transition model, until the included angle is reduced from a first angle to a second angle, and a three-dimensional map display animation is obtained.
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公开(公告)号:US20240037911A1
公开(公告)日:2024-02-01
申请号:US18109522
申请日:2023-02-14
Inventor: Ying Xin , Song Xue , Yuan Feng , Chao Li , Bin Zhang , Yunhao Wang , Shumin Han
IPC: G06V10/764 , G06V10/44 , G06V10/80 , G06V10/82
CPC classification number: G06V10/764 , G06V10/44 , G06V10/806 , G06V10/82
Abstract: Provided is an image classification method, an electronic device and a storage medium, relating to a field of artificial intelligence technology, and specifically, to the technical fields of deep learning, image processing and computer vision, which may be applied to scenes such as image classification. The image classification method includes: extracting a first image feature of a target image by using a first network model, where the first network model includes a convolutional neural network module; extracting a second image feature of the target image by using a second network model, where the second network model includes a deep self-attention transformer network (Transformer) module; fusing the first image feature and the second image feature to obtain a target feature to be recognized; and classifying the target image based on the target feature to be recognized.
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公开(公告)号:US11887473B2
公开(公告)日:2024-01-30
申请号:US17698347
申请日:2022-03-18
Inventor: Xiongfei Tan , Yiming Zhang , Tingting Ge , Xun Gan
CPC classification number: G08G1/0141 , G06V20/54 , G08G1/04
Abstract: A road congestion detection method realized by a computer includes obtaining K images taken by L cameras corresponding to a first road at a same target time point, the first road including M road sections, each road section corresponding to at least one camera, M, L, K each being a positive integer, L being greater than or equal to M, performing target detection on each image to obtain area ratio information, the area ratio information representing a ratio of an area of vehicles on a lane of a target road section to an area of the lane of the target road section, the target road section being a road section corresponding to the image in the M road sections, and determining a first congestion detection result of the first road at the target time point in accordance with K pieces of area ratio information corresponding to the M road sections.
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370.
公开(公告)号:US20240013558A1
公开(公告)日:2024-01-11
申请号:US18113266
申请日:2023-02-23
Inventor: Haoran WANG , Dongliang HE , Fu LI , Errui DING
IPC: G06V20/70 , G06V10/774 , G06V20/40 , G06F40/30 , G06F40/279
CPC classification number: G06V20/70 , G06V10/774 , G06V20/46 , G06F40/30 , G06F40/279
Abstract: There is provided cross-modal feature extraction, retrieval, and model training methods and apparatuses, and a medium, which relates to the field of artificial intelligence (AI) technologies, and specifically to fields of deep learning, image processing, and computer vision technologies. A specific implementation solution involves: acquiring to-be-processed data, the to-be-processed data corresponding to at least two types of first modalities; determining first data of a second modality in the to-be-processed data, the second modality being any of the types of the first modalities; performing semantic entity extraction on the first data to obtain semantic entities; and acquiring semantic coding features of the first data based on the first data and the semantic entities and by using a pre-trained cross-modal feature extraction model.
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