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公开(公告)号：US20220366320A1
公开(公告)日：2022-11-17
申请号：US17864098
申请日：2022-07-13
Inventor： Ji LIU , Chendi ZHOU , Juncheng JIA , Dejing DOU
IPC: G06N20/20
Abstract: A computer-implemented method is provided. The method includes: executing, for each task in a federated learning system, a first training process comprising: obtaining resource information of a plurality of terminal devices of the federated learning system; determining one or more target terminal devices corresponding to the task based on the resource information; and training a global model corresponding to the task by the target terminal devices until the global model meets a preset condition.
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公开(公告)号：US20220365941A1
公开(公告)日：2022-11-17
申请号：US17811716
申请日：2022-07-11
Inventor： Qiutong Pan , Ruigao Li , Yanan Li , Bolei He
IPC: G06F16/2457 , G06F16/215 , H04L51/04
Abstract: The disclosure provides a method for searching an instant messaging object, an electronic device and a storage medium. The method includes: receiving a search request of a first object, and determining a type of the search request; obtaining at least one recall set of the first object based on a client-side search engine in an instant messaging system in response to the type of the search request being a first type; obtaining at least one candidate object corresponding to a search keyword in the search request based on the search keyword and the at least one recall set; obtaining feature information of each candidate object; and responding to the search request by sorting the at least one candidate object based on the feature information.
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503.发明申请公开(公告)号：US20220358741A1
公开(公告)日：2022-11-10
申请号：US17870690
申请日：2022-07-21
Inventor： Ruizhi CHEN
Abstract: Provided are a method and an apparatus for determining a skeletal driving coefficient, an electronic device, and a readable storage medium, and relates to the field of image processing technologies, and in particular, to the field of artificial intelligence or augmented reality technologies. A method includes driving a deformation, based on an initial skeletal driving coefficient, on an initial skin-skeleton model to obtain a first skinned skeleton model; and in response to a difference between the first skinned skeleton model and a target skinned skeleton model does not meet a threshold, performing at least one deformation on the first skinned skeleton model until a second skinned skeleton model, the difference between which model and the target skinned skeleton model meets the condition on the difference, is obtained, and obtaining at least one target skeletal driving coefficient used for driving the at least one deformation.
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公开(公告)号：US20220358292A1
公开(公告)日：2022-11-10
申请号：US17813691
申请日：2022-07-20
Inventor： Fan Wang , Jinchang Luo , Jie Wang , Haiwei Wang , Kunbin Chen , Wei He
IPC: G06F40/295 , G06F16/33 , G06F16/35 , G06F16/31
Abstract: The disclosure provides a method for recognizing an entity, an electronic device and a storage medium. The method includes: obtaining message data to be processed; obtaining entity mention information by processing the message data to be processed according to a multi-pattern matching method; determining one or more candidate entities associated with the entity mention information and entity description information corresponding to the one or more candidate entities; and determining a target entity mentioned in the entity mention information according to the message data to be processed and the entity description information.
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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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Patent Agency Ranking
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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510.发明申请公开(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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