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721.发明申请公开(公告)号：US20230115765A1
公开(公告)日：2023-04-13
申请号：US18072295
申请日：2022-11-30
Inventor： Borong LIANG , Zhizhi Guo , Zhibin Hong
Abstract: A method and an apparatus of transferring an image, a method of training an image transfer model, a device, and a medium. The method of transferring the image includes: extracting a first attribute feature of a first object and a first shape feature of a target part of the first object respectively according to a first image and a first position information of the target part of the first object in the first image; extracting a first identity feature of a second object contained in a second image; and generating a first transferred image according to the first attribute feature, the first shape feature and the first identity feature, wherein the first transferred image contains the second object having the first attribute feature and the first shape feature.
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公开(公告)号：US20230114673A1
公开(公告)日：2023-04-13
申请号：US18059645
申请日：2022-11-29
Inventor： Wei Li , Xinyan Xiao , Jiachen Liu
Abstract: A method for recognizing a token is performed by an electronic device. The method includes: obtaining first modal data and second modal data; determining a first token of the first modal data and a second token of the second modal data; determining an associated token between the first token and the second token; and recognizing a target shared token between the first modal data and the second modal data based on the first token, the second token and the associated token.
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公开(公告)号：US20230112385A1
公开(公告)日：2023-04-13
申请号：US18079846
申请日：2022-12-12
Inventor： Qi Wang , Zhifan Feng , Chunguang Chai , Yong Zhu
IPC: G06F16/432 , G06F16/483
Abstract: A method of obtaining an event information, an electronic device, and a storage medium, which relate to a field of artificial intelligence, in particular to fields of knowledge graph and deep learning technologies. A specific implementation solution of the method of obtaining the event information includes: determining, according to a query information in data to be processed, a first key information describing an event; determining, according to multimedia data in the data to be processed, a second key information describing an event, wherein the multimedia data includes data obtained by querying based on the query information; and fusing the first key information and the second key information, so as to obtain an event information of a target event described by the data to be processed.
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724.发明申请公开(公告)号：US20230103013A1
公开(公告)日：2023-03-30
申请号：US17936109
申请日：2022-09-28
Inventor： Jianwei LI
Abstract: A method for processing an image includes: obtaining a face image to be processed, and dividing the face image to be processed into image patches; determining respective importance information of the image patches of the face image to be processed; obtaining a pruning rate of a preset vision transformer (ViT) model; inputting the image patches into the ViT model, and pruning inputs of network layers of the ViT model according to the pruning rate and the respective importance information of the image patches, to obtain a result outputted by the ViT model; and determining feature vectors of the face image to be processed according to the result outputted by the ViT model.
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公开(公告)号：US20230102467A1
公开(公告)日：2023-03-30
申请号：US17956393
申请日：2022-09-29
IPC: G06V10/25 , G06V10/44 , G06V10/764 , G06V10/771 , G06V10/82
Abstract: A method of detecting an image, an electronic device, and a storage medium are provided, which relate to a field of an artificial intelligence technology, in particular to fields of computer vision and deep learning technologies, and may be applied to a smart city and an intelligent cloud. The method includes: performing a feature extraction on an image to be detected, so as to obtain a feature map of the image to be detected; generating a prediction box in the feature map according to the feature map; generating a mask for the prediction box according to a key region of a target object; and classifying the prediction box using the mask as a classification enhancement information, so as to obtain a category of the prediction box.
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Patent Agency Ranking
公开(公告)号：US20230096921A1
公开(公告)日：2023-03-30
申请号：US17657118
申请日：2022-03-29
Inventor： Shengyu Wei , Yuning Du , Xueying Lyu , Ying Zhou , Qiao Zhao , Qiwen Liu , Ran Bi , Xiaoguang Hu , Dianhai Yu , Yanjun Ma
IPC: G06V10/764 , G06V10/40 , G06V10/74
Abstract: The present disclosure provides an image recognition method and apparatus, an electronic device and a readable storage medium, and relates to the field of artificial intelligence technologies, such as image processing and deep learning technologies. The image recognition method includes: acquiring a to-be-recognized image, and determining a to-be-recognized subject in the to-be-recognized image; extracting a subject feature of the to-be-recognized subject, and obtaining a target feature according to the subject feature; determining a target candidate feature in a plurality of candidate features using the target feature; and taking a class corresponding to the target candidate feature as a recognition result of the to-be-recognized subject. With the present disclosure, different image recognition requirements may be met, and a speed and accuracy of image recognition may be improved.
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公开(公告)号：US20230095114A1
公开(公告)日：2023-03-30
申请号：US17658508
申请日：2022-04-08
Inventor： Xiao Tan , Xiaoqing Ye , Hao Sun
Abstract: The present disclosure provides a target detection and model training method and apparatus, a device and a storage medium, and relates to the field of artificial intelligence, and in particular, to computer vision and deep learning technologies, which may be applied to smart city and intelligent transportation scenarios. The target detection method includes: performing feature extraction processing on an image to obtain image features of a plurality of stages of the image; performing position coding processing on the image to obtain a position code of the image; obtaining detection results of the plurality of stages of a target in the image based on the image features of the plurality of stages and the position code; and obtaining a target detection result based on the detection results of the plurality of stages.
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公开(公告)号：US20230093528A1
公开(公告)日：2023-03-23
申请号：US18070775
申请日：2022-11-29
Inventor： Ying SUN , Hengshu Zhu , Chuan Qin , Fuzhen Zhuang , Hui Xiong
Abstract: An interpretation method for a neural network model is provided. Input data and output data corresponding to the input data of a neural network model are acquired, in which the neural network model includes layers of networks connected sequentially, and each layer of network corresponds to a plurality of candidate concepts. A key inference path through which the output data is obtained by the neural network model based on the input data are acquired, in which the key inference path includes target concepts respectively used by the layers of networks when the input data is processed in the neural network model, in which the target concepts are selected from the plurality of candidate concepts. Interpretation information corresponding to the layers of networks is determined according to the target concepts corresponding to the layers of networks, respectively. The key inference path and the interpretation information are output.
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公开(公告)号：US20230087100A1
公开(公告)日：2023-03-23
申请号：US17943982
申请日：2022-09-13
Inventor： Zelin Meng , Xin Wang , Lijing Jin , Qinghe Wang
IPC: G06N10/20 , H03K19/195
Abstract: A method is provided. The method includes determining a corresponding relationship between a pulse enveloping parameter and a single pulse duration, and determining a parameter to be optimized; and determining a maximum pulse number, an initialized current pulse number and a preset error tolerance. The method further includes executing an iterative operation including determining a quantum gate matrix to be implemented and a value of a loss function based on the current pulse number and the parameter to be optimized; adjusting a group of parameter values of the parameter to be optimized to minimize the value of the loss function; determining an error with a target quantum gate matrix after the value of the loss function is minimized; and in response to that the current pulse number is less than the maximum pulse number and the error is greater than the error tolerance, adding one to the current pulse number.
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公开(公告)号：US20230087081A1
公开(公告)日：2023-03-23
申请号：US18070171
申请日：2022-11-28
Inventor： Yuting DU , Xu DAI , Mengyao SUN
Abstract: A method of detecting an event, an electronic device, and a storage medium, which are related to a field of computer technology, in particular to a field of artificial intelligence technology, such as image processing and cloud computing. The method includes: determining a first target object according to a first image; determining a second target object and a category of the second target object according to a second image; associating a first target object with the category of the second target object to obtain a first event information; and comparing the first event information with a detection threshold to obtain a first event detection result.
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