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公开(公告)号:US20220358178A1
公开(公告)日:2022-11-10
申请号:US17869364
申请日:2022-07-20
Inventor: Gang Wang , Wei Liu , Qian Zhang , Guoliang Chen
IPC: G06F16/957 , G06F16/9532 , G06F16/954
Abstract: A data query method, an electronic device, and a storage medium are provided, and relate to the field of computer technologies, and in particular to the field of intelligent search. The method includes: determining an extraction location of target data according to a data query request; determining a data extraction strategy corresponding to the extraction location; and extracting the target data at the extraction location according to the data extraction strategy, and using the target data as a data query result. The above solution solves the technical problems of excessive system overhead and poor real-time performance in the existing deep paging mechanism.
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公开(公告)号:US20220358006A1
公开(公告)日:2022-11-10
申请号:US17870159
申请日:2022-07-21
Inventor: Junhua JIANG , Zhiyong WU , Guang ZHOU
Abstract: A core board, a server, a fault repairing method and apparatus, and a storage medium are provided. The server includes: a baseboard manager controller; and at least one core board connected to the baseboard manager controller, and configured to receive, when receiving a forced downloading signal from the baseboard manager controller, data for repairing from the baseboard manager controller to perform fault repairing.
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公开(公告)号:US20220343512A1
公开(公告)日:2022-10-27
申请号:US17858768
申请日:2022-07-06
Inventor: Yanru HAO
Abstract: A method of processing an image, which relates to a field of an artificial intelligence technology, in particular to a field of computer vision and deep learning technology, and may be applied to image segmentation or other applications. A solution includes: inputting a to-be-processed image into a first convolution network to obtain a coarse-grained image feature map for the to-be-processed image; inputting the coarse-grained image feature map into a second convolution network to obtain a fine-grained image feature map for the to-be-processed image; and determining an image processing result according to the fine-grained image feature map. There is further provided an apparatus of processing an image, an electronic device, and a storage medium.
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公开(公告)号:US20220327803A1
公开(公告)日:2022-10-13
申请号:US17809210
申请日:2022-06-27
IPC: G06V10/75 , G06V10/40 , G06V10/82 , G06V10/774 , G06V10/80 , G06V10/776 , G06V10/74 , G06V10/22
Abstract: A method of recognizing an object, an electronic device and storage medium are provided, which relate to a field of data processing, in particular to a field of object recognition. The method includes: acquiring a position information and an image data of an object to be detected; performing a feature extraction on the position information and the image data of the object to be detected to obtain a first target concatenating feature; inputting the first target concatenating feature into a pre-trained deep learning model to obtain a second target concatenating feature; determining a second sample concatenating feature matched with the second target concatenating feature by matching the second target concatenating feature with each second sample concatenating feature obtained by processing a first sample concatenating feature of a sample object; and determining the object to be detected as the sample object corresponding to the second sample concatenating feature.
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公开(公告)号:US20220301286A1
公开(公告)日:2022-09-22
申请号:US17832764
申请日:2022-06-06
Inventor: Kehua Chen , Zihan Ni , Rongqiao An , Yipeng Sun , Yuerong Chen , Kun Yao
IPC: G06V10/74 , G06V20/40 , G06V10/774
Abstract: A method and apparatus for identifying a display scene, a method and apparatus for training a model, a device, a storage medium and a computer program product are provided. An implementation of the method may comprise: acquiring a feature vector of a to-be-identified image and acquiring a base library feature vector set; ascertaining, from the base library feature vector set, at least two candidate feature vectors based on a similarity coefficient between the feature vector of the to-be-identified image and each feature vector in the base library feature vector set; performing threshold comparisons on similarity coefficients of the at least two candidate feature vectors, to obtain a target feature vector; and determining a display scene of the to-be-identified image based on a display scene tag corresponding to the target feature vector.
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公开(公告)号:US20220301183A1
公开(公告)日:2022-09-22
申请号:US17836507
申请日:2022-06-09
Inventor: Shuai KANG , Xiangbo SU
Abstract: A method and apparatus for tracking an object, an electronic device, and a readable storage medium are provided. The method can include: determining an object re-identification feature of each target object in a target frame image, the object re-identification feature comprising position information of each target object; and performing object tracking based on the object re-identification feature of each target object.
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公开(公告)号:US20220300697A1
公开(公告)日:2022-09-22
申请号:US17835717
申请日:2022-06-08
Inventor: Yukun LI , Han ZHANG , Weichong YIN , Dongling XIAO , Yu SUN , Hao TIAN
Abstract: A method for generating a target object is provided. A first discrete encoded sequence corresponding to an original object is generated by performing discrete encoding on the original object. The original object is of an image type, a text type, or a text-image-combined type. A second discrete encode sequence is obtained by inputting the first discrete encoded sequence into a generative model. A target object is generated based on the second discrete encoded sequence. The target object is of an image type or a text type. When the original object is of the image type, the target object is of the text type. When the original object is of the text type, the target object is of the image type.
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公开(公告)号:US20220300543A1
公开(公告)日:2022-09-22
申请号:US17837347
申请日:2022-06-10
Inventor: Yuqing SUN , Shichen SHAO , Yongheng LI , Renhua ZOU , Fei XU , Chengzhi FANG , Gang WANG
IPC: G06F16/332 , G06F16/38 , G06F16/31 , G06F40/30
Abstract: A method of retrieving a query, an electronic device, and a medium are provided, which relate to fields of intelligent searching, intelligent recommendation, natural language processing, etc. The method of retrieving a query includes: processing a query to be retrieved, so as to obtain a first processing result for the query to be retrieved, the first processing result containing a first text information and a first semantic information; comparing the first processing result with a second processing result of each of at least one candidate query, so as to obtain a comparison result, the second processing result containing a second text information and a second semantic information; determining a target query from the at least one candidate query based on the comparison result; and determining at least one of the target query or an answer corresponding to the target query as a retrieving result.
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公开(公告)号:US20220292131A1
公开(公告)日:2022-09-15
申请号:US17826760
申请日:2022-05-27
Inventor: Ruibin BAI , Xiang WEI , Yipeng SUN , Kun YAO , Jingtuo LIU , Junyu HAN
IPC: G06F16/583 , G06V10/74 , G06V10/44 , G06F16/535
Abstract: A method, apparatus and system for retrieving an image is provided, the method comprises: detecting, in response to receiving a query request comprising a target image, a target subject from the target image; extracting a subject feature from the target subject if a confidence level of a detection box of the detected target subject is greater than a first threshold, the subject feature comprising an identical feature, a similar feature and a category; performing matching on the subject feature of the target image and a subject feature of a candidate image pre-stored in a database, to obtain a similarity score and an identicalness score of the candidate image; and selecting, according to the similarity score and the identicalness score, a predetermined number of candidate images as a search result for output.
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公开(公告)号:US20220276899A1
公开(公告)日:2022-09-01
申请号:US17744396
申请日:2022-05-13
Inventor: Binbin XU , Liang TANG , Ying ZHAO , Shupeng LI , En SHI , Zhengyu QIAN , Yongkang XIE
Abstract: A resource scheduling method and apparatus, a device, and a storage medium are provided, and relates to the field of computer technology, and in particular to the field of deep learning technology. The method includes: acquiring a graphics processing unit (GPU) topology relationship of a cluster according to GPU connection information of each of computing nodes in the cluster; and in a case where a task request, for applying for a GPU resource, for a target task is received, determining a target computing node of the target task and a target GPU in the target computing node according to the task request and the GPU topology relationship, to complete GPU resource scheduling of the target task. The present disclosure can optimize the resource scheduling.
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