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451.
公开(公告)号:US20230094834A1
公开(公告)日:2023-03-30
申请号:US17802357
申请日:2021-10-21
Inventor: Bingxin LENG
IPC: H04N21/24 , H04N21/2187
Abstract: A method, a device, an electronic device and a readable storage medium detect a fault of a live stream service. The method specifically includes: obtaining log data of a live stream service; performing statistics on the log data according to a plurality of dimensions to be detected, to obtain log statistics data in each of the plurality of dimensions; analyzing the log statistics data in each of the plurality of dimensions respectively to obtain an analysis result; determining whether a live link portion corresponding to the log statistics data in each of the plurality of dimensions has a fault, according to the analysis result.
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公开(公告)号:US11616840B2
公开(公告)日:2023-03-28
申请号:US16718040
申请日:2019-12-17
Inventor: Jiaqi Liang , Gao Yu , Gaifan Li
IPC: H04L67/1097 , H04L67/12 , H04L47/12 , H04W4/44
Abstract: The present disclosure provides a method, an apparatus and a system for processing unmanned vehicle data, and a storage medium, where the method includes: receiving data acquisition indication information sent by a cloud server; obtaining, according to the data acquisition indication information, target data from a data set; and storing the target data, and/or sending the target data to the cloud server, which can thereby achieve acquisition and storage of data meets a preset condition, reduce amount of data storage of the unmanned vehicle and amount of data sent to the cloud server, save network resources, and improve data transmission efficiency.
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453.
公开(公告)号:US20230090590A1
公开(公告)日:2023-03-23
申请号:US17738651
申请日:2022-05-06
Inventor: Xiaoyin FU , Zhijie CHEN , Mingxin LIANG , Mingshun YANG , Lei JIA , Haifeng WANG
IPC: G10L15/02 , G10L15/26 , G10L15/187 , G06F16/683
Abstract: The present disclosure provides speech recognition and codec methods and apparatuses, an electronic device and a storage medium, and relates to the field of artificial intelligence such as intelligent speech, deep learning and natural language processing. The speech recognition method may include: acquiring an audio feature of to-be-recognized speech; encoding the audio feature to obtain an encoding feature; truncating the encoding feature to obtain continuous N feature fragments, N being a positive integer greater than one; and acquiring, for any one of the feature segments, corresponding historical feature abstraction information, encoding the feature segment in combination with the historical feature abstraction information, and decoding an encoding result to obtain a recognition result corresponding to the feature segment, wherein the historical feature abstraction information is information obtained by feature abstraction of recognized historical feature fragments.
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454.
公开(公告)号:US20230085665A1
公开(公告)日:2023-03-23
申请号:US18059542
申请日:2022-11-29
IPC: G06F3/0481 , G11B27/10 , H04N21/472
Abstract: A method for determining multimedia editing information includes: obtaining a first playback time of a first target frame in first multimedia data to be edited, a second playback time of the first target frame for second multimedia data after editing and a playback multi-times speed set for the first multimedia data; determining, based on the first playback time and the second playback time, a time deviation that occurs while editing the first multimedia data at the playback multi-times speed for the first multimedia data; and determining, based on the time deviation, the first playback time, the second playback time and the playback multi-times speed, a playback time of the first multimedia data corresponding to each playback time of the second multimedia data after the second playback time.
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公开(公告)号:US11610388B2
公开(公告)日:2023-03-21
申请号:US17164613
申请日:2021-02-01
Inventor: Mingyuan Mao , Yuan Feng , Ying Xin , Pengcheng Yuan , Bin Zhang , Shufei Lin , Xiaodi Wang , Shumin Han , Yingbo Xu , Jingwei Liu , Shilei Wen , Hongwu Zhang , Errui Ding
IPC: G06V10/44 , G06T7/73 , G06N3/08 , G06V40/10 , G06V20/52 , G06F18/22 , G06V10/764 , G06V10/778 , G06V10/82
Abstract: The present application discloses a method and an apparatus for detecting wearing of a safety helmet, a device and a storage medium. The method for detecting wearing of a safety helmet includes: acquiring a first image collected by a camera device, where the first image includes at least one human body image; determining the at least one human body image and at least one head image in the first image; determining a human body image corresponding to each head image in the at least one human body image according to an area where the at least one human body image is located and an area where the at least one head image is located; and processing the human body image corresponding to the at least one head image according to a type of the at least one head image.
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公开(公告)号:US20230084055A1
公开(公告)日:2023-03-16
申请号:US17991958
申请日:2022-11-22
Inventor: Ji LIU , Sunjie YU , Dejing DOU , Jiwen ZHOU
Abstract: A method for generating a federated learning model is provided. The method includes obtaining images; obtaining sorting results of the images; and generating a trained federated learning model by training a federated learning model to be trained according to the images and the sorting results. The federated learning model to be trained is obtained after pruning a federated learning model to be pruned, and a pruning rate of a convolution layer in the federated learning model to be pruned is automatically adjusted according to a model accuracy during the pruning.
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457.
公开(公告)号:US20230083831A1
公开(公告)日:2023-03-16
申请号:US17653380
申请日:2022-03-03
Inventor: Yiyuan ZHANG , Jiawei LIAO , Yu LIU , Xi HUANG , Xiaohua REN , Xiaolin HUANG , Huibin ZHAO
Abstract: The present disclosure provides a method and apparatus for adjusting a virtual face model, an electronic device and a storage medium, so as at least to solve the technical problems of tedious operation steps and poor user experience of conventional solutions for adjusting a virtual image. A specific implementation solution includes: a real human face in a reality scene is identified to obtain a first virtual face model of the real human face in a virtual scene; in response to a face-pinching operation acting on the real human face, the face-pinching operation is identified to determine at least one to-be-adjusted key point in the first virtual face model and an adjustment manner of the at least one to-be-adjusted key point; and the first virtual face model is adjusted to a second virtual face model based on the adjustment manner of the at least one to-be-adjusted key point.
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公开(公告)号:US20230083116A1
公开(公告)日:2023-03-16
申请号:US17988264
申请日:2022-11-16
Inventor: Ji LIU , Hong ZHANG , Juncheng JIA , Jiwen ZHOU , Shengbo PENG , Ruipu ZHOU , Dejing DOU
Abstract: A federated learning method and system, an electronic device, and a storage medium, which relate to a field of artificial intelligence, in particular to fields of computer vision and deep learning technologies. The method includes: performing a plurality of rounds of training until a training end condition is met, to obtain a trained global model; and publishing the trained global model to a plurality of devices. Each of the plurality of rounds of training includes: transmitting a current global model to at least some devices in the plurality of devices; receiving trained parameters for the current global model from the at least some devices; performing an aggregation on the received parameters to obtain a current aggregation model; and adjusting the current aggregation model based on a globally shared dataset, and updating the adjusted aggregation model as a new current global model for a next round of training.
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公开(公告)号:US20230081696A1
公开(公告)日:2023-03-16
申请号:US17657708
申请日:2022-04-01
Inventor: Zhifeng HUANG , Wansheng Zhang
IPC: H04L45/7453 , H04L12/66 , H04L12/46 , H04L61/256
Abstract: The present disclosure provides methods for shunting clustered gateways, which relate to the field of computer technologies, and in particular, relate to the technical field of data transmission. A specific implementation solution is: in response to receiving a first packet sent by a target internal network machine, a first hash value is acquired, wherein the first hash value is generated by a shunt of a public network gateway cluster, and the shunt is configured to perform a hash calculation on the first packet based on a pre-configured port dictionary; a target gateway machine is selected from the public network gateway cluster according to the first hash value; and the first packet is sent to the target gateway machine.
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公开(公告)号:US20230080904A1
公开(公告)日:2023-03-16
申请号:US18054608
申请日:2022-11-11
Inventor: Yaqian HAN , Shuohuan WANG , Yu SUN
Abstract: A method for generating a cross-lingual textual semantic model includes: acquiring a set of training data that includes pieces of monolingual non-parallel text and pieces of bilingual parallel text; determining a semantic vector of each piece of text in the set of training data by inputting each piece of text into an initial textual semantic model; determining a distance between semantic vectors of each two pieces of text in the set of training data based on the semantic vector of each piece of text in the set of training data; determining a gradient modification based on a parallel relationship between each two pieces of text in the set of training data and the distance between the semantic vectors of each two pieces of text in the set of training data; and acquiring a modified textual semantic model by modifying the initial textual semantic model based on the gradient modification.
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