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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：US11983086B2
公开(公告)日：2024-05-14
申请号：US17989644
申请日：2022-11-17
Inventor： Haifeng Wang , Xiaoguang Hu , Dianhai Yu , Xiang Lan , Yanjun Ma
CPC classification number: G06F11/3409 , G06N3/063
Abstract: The disclosure provides a method for processing data, and an electronic device. The method includes: obtaining first attribute information of input data and second attribute information of a computing device corresponding to the input data; selecting a target operator implementation mode from a plurality of candidate operator implementation modes based on the first attribute information and the second attribute information; determining a plurality of sub-operators included in an operator required for the input data from an operator library based on the target operator implementation mode, to generate the operator; and obtaining an operation result by performing an operation on the input data by the computing device based on the operator.
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公开(公告)号：US12223271B2
公开(公告)日：2025-02-11
申请号：US17874394
申请日：2022-07-27
Inventor： Zeyu Chen , Haifeng Wang , Tian Wu , Dianhai Yu , Yanjun Ma , Xiaoguang Hu
IPC: G06F40/10 , G06F40/284 , G06F40/47
Abstract: Provided are a text processing method, a device and a storage medium, relating to a field of computer technology, and especially to a field of artificial intelligence, such as natural language processing and deep learning. The specific implementation scheme includes: performing text processing on first text, by using a text processing acceleration operator; and processing, in parallel and faster, content after the text processing, by using the text processing acceleration operator. Text processing and parallel acceleration are carried out by the text processing acceleration operator, which can improve the speed of text processing.
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公开(公告)号：US11929871B2
公开(公告)日：2024-03-12
申请号：US17718149
申请日：2022-04-11
Inventor： Cheng Cui , Tingquan Gao , Shengyu Wei , Yuning Du , Ruoyu Guo , Bin Lu , Ying Zhou , Xueying Lyu , Qiwen Liu , Xiaoguang Hu , Dianhai Yu , Yanjun Ma
IPC: G06K9/62 , G06F18/214 , H04L41/0806 , H04L41/084 , H04L41/0894
CPC classification number: H04L41/0806 , G06F18/214 , H04L41/0846 , H04L41/0894
Abstract: The present disclosure provides a method for generating a backbone network, an apparatus for generating a backbone network, a device, and a storage medium. The method includes: acquiring a set of a training image, a set of an inference image, and a set of an initial backbone network; training and inferring, for each initial backbone network in the set of the initial backbone network, the initial backbone network by using the set of the training image and the set of the inference image, to obtain an inference time and an inference accuracy of a trained backbone network in an inference process; determining a basic backbone network based on the inference time and the inference accuracy of the trained backbone network in the inference process; and obtaining a target backbone network based on the basic backbone network and a preset target network.
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公开(公告)号：US12205025B2
公开(公告)日：2025-01-21
申请号：US17211146
申请日：2021-03-24
Inventor： Haifeng Wang , Xiaoguang Hu , Dianhai Yu
Abstract: The present application discloses a processor video memory optimization method and apparatus for deep learning training tasks, and relates to the technical field of artificial intelligence. In the method, by determining an optimal path for transferring a computing result, the computing result of a first computing unit is transferred to a second computing unit by using the optimal path. Thus, occupying the video memory is avoided, and meanwhile, a problem of low utilization rate of the computing unit of a GPU caused by video memory swaps is avoided, so that training speed of most tasks is hardly reduced.
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Patent Agency Ranking
公开(公告)号：US20230186024A1
公开(公告)日：2023-06-15
申请号：US17874394
申请日：2022-07-27
Inventor： Zeyu Chen , Haifeng Wang , Tian Wu , Dianhai Yu , Yanjun Ma , Xiaoguang Hu
IPC: G06F40/284 , G06F40/47
CPC classification number: G06F40/284 , G06F40/47
Abstract: Provided are a text processing method, a device and a storage medium, relating to a field of computer technology, and especially to a field of artificial intelligence, such as natural language processing and deep learning. The specific implementation scheme includes: performing text processing on first text, by using a text processing acceleration operator; and processing, in parallel and faster, content after the text processing, by using the text processing acceleration operator. Text processing and parallel acceleration are carried out by the text processing acceleration operator, which can improve the speed of text processing.
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公开(公告)号：US12118770B2
公开(公告)日：2024-10-15
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: G06V10/00 , G06V10/40 , G06V10/74 , G06V10/764
CPC classification number: G06V10/764 , G06V10/40 , G06V10/761
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：US20230115163A1
公开(公告)日：2023-04-13
申请号：US17989644
申请日：2022-11-17
Inventor： Haifeng Wang , Xiaoguang Hu , Dianhai Yu , Xiang Lan , Yanjun Ma
Abstract: The disclosure provides a method for processing data, and an electronic device. The method includes: obtaining first attribute information of input data and second attribute information of a computing device corresponding to the input data; selecting a target operator implementation mode from a plurality of candidate operator implementation modes based on the first attribute information and the second attribute information; determining a plurality of sub-operators included in an operator required for the input data from an operator library based on the target operator implementation mode, to generate the operator; and obtaining an operation result by performing an operation on the input data by the computing device based on the operator.
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公开(公告)号：US11620815B2
公开(公告)日：2023-04-04
申请号：US17938457
申请日：2022-10-06
Inventor： Guanghua Yu , Qingqing Dang , Haoshuang Wang , Guanzhong Wang , Xiaoguang Hu , Dianhai Yu , Yanjun Ma , Qiwen Liu , Can Wen
IPC: G06V10/77 , G06V10/82 , G06V10/80 , G06V10/764
Abstract: A method for detecting an object in an image includes: obtaining an image to be detected; generating a plurality of feature maps based on the image to be detected by a plurality of feature extracting networks in a neural network model trained for object detection, in which the plurality of feature extracting networks are connected sequentially, and input data of a latter feature extracting network in the plurality of feature extracting networks is based on output data and input data of a previous feature extracting network; and generating an object detection result based on the plurality of feature maps by an object detecting network in the neural network model.
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10.发明申请公开(公告)号：US20220129731A1
公开(公告)日：2022-04-28
申请号：US17568296
申请日：2022-01-04
Inventor： Ruoyu GUO , Yuning DU , Chenxia LI , Tingquan GAO , Qiao ZHAO , Qiwen LIU , Ran BI , Xiaoguang Hu , Dianhai YU , Yanjun MA
Abstract: The present disclosure provides a method and apparatus for training an image recognition model, and a method and apparatus for recognizing an image, and relates to the field of artificial intelligence, and particularly to the fields of deep learning and computer vision. A specific implementation comprises: acquiring a tagged sample set, an untagged sample set and a knowledge distillation network; and performing following training steps: selecting an input sample from the tagged sample set and the untagged sample set, and accumulating a number of iterations; inputting respectively the input sample into a student network and a teacher network of the knowledge distillation network to train the student network and the teacher network; and selecting an image recognition model from the student network and the teacher network, if a training completion condition is satisfied.
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