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公开(公告)号：US12288392B2
公开(公告)日：2025-04-29
申请号：US17797034
申请日：2021-05-31
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Rui Zheng , Xiaojun Tang , Zhanfu An , Guangwei Huang
Abstract: A method for training an object detection model includes: firstly obtaining M sample image sets; then, obtaining an initial object detection model; and finally, training the initial object detection model by using the M sample image sets to obtain the object detection model. A sample image set includes at least one sample image and object type(s) of object(s) in each sample image. An object type corresponds to one sample image set, and the M sample image sets correspond to N object types.
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公开(公告)号：US11790641B2
公开(公告)日：2023-10-17
申请号：US16929011
申请日：2020-07-14
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Ruibin Xue , Guangwei Huang , Jibo Zhao , Bingchuan Shi , Yue Li
IPC: G09B7/06 , G06V10/82 , G06V30/19 , G06V30/413 , G06V30/10
CPC classification number: G06V10/82 , G06V30/19147 , G06V30/19173 , G06V30/413 , G09B7/06 , G06V30/10
Abstract: The present disclosure provides an answer evaluation method, an answer evaluation system, an electronic device, and a medium. The method comprises: acquiring an answer image, for a test paper answered by a use; classifying the answer image based on a pre-trained test question classification model, so as to obtain an objective question answer area and a subjective question answer area; identifying at least one objective question in the objective question answer area and an objective question answers for each of the at least one objective question; identifying at least one subjective question in the subjective question answer area and a subjective question answers for each of the at least one subjective question; and determining a total score value of the test paper based on the objective question, the objective question answer, the subjective question and the subjective question answer.
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公开(公告)号：US11854249B2
公开(公告)日：2023-12-26
申请号：US17420114
申请日：2020-09-07
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Yue Li , Jibo Zhao , Guangwei Huang , Ruibin Xue , Bingchuan Shi
Abstract: A character recognition method includes: performing feature extraction on an image to be recognized to obtain a first feature map; processing the first feature map to at least obtain N first candidate carrier detection boxes, each first candidate carrier detection box being configured to outline a region of a character carrier; screening the N first candidate carrier detection boxes to obtain K first target carrier detection boxes; performing a feature extraction on the first feature map to obtain a second feature map; processing the second feature map to obtain L first candidate character detection boxes, each first candidate character detection box being configured to outline a region containing at least one character; screening the L first candidate character detection boxes to obtain J first target character detection boxes; and recognizing characters in the J first target character detection boxes to obtain J target character informations.
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公开(公告)号：US11823474B2
公开(公告)日：2023-11-21
申请号：US17428811
申请日：2020-10-27
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Huanhuan Zhang , Guangwei Huang
IPC: G06V30/226 , G06V30/30 , G06V30/18
CPC classification number: G06V30/2268 , G06V30/1801 , G06V30/30
Abstract: The present disclosure relates to a handwritten text recognition method, including: acquiring an information sequence including a plurality of track points of handwritten text, wherein information on each track point comprises its abscissa, writing time and writing state value; dividing the plurality of track points into a plurality of strokes according to the writing state value of each track point, the writing state value including a first value representative of stroke pen-up and a second value representative of stroke pen-down, respectively; calculating a first segmentation threshold of the handwritten text; determining a first text segmentation point according to a result of comparison between an absolute value of a difference between abscissas of a start track point of one stroke and an end track point of its previous stroke and the first segmentation threshold; and performing text segmentation according to the first text segmentation point to obtain a text segmentation result.
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Patent Agency Ranking
公开(公告)号：US20220319214A1
公开(公告)日：2022-10-06
申请号：US17428811
申请日：2020-10-27
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Huanhuan Zhang , Guangwei Huang
IPC: G06V30/226 , G06V30/18 , G06V30/30
Abstract: The present disclosure relates to a handwritten text recognition method, including: acquiring an information sequence including a plurality of track points of handwritten text, wherein information on each track point comprises its abscissa, writing time and writing state value; dividing the plurality of track points into a plurality of strokes according to the writing state value of each track point, the writing state value including a first value representative of stroke pen-up and a second value representative of stroke pen-down, respectively; calculating a first segmentation threshold of the handwritten text; determining a first text segmentation point according to a result of comparison between an absolute value of a difference between abscissas of a start track point of one stroke and an end track point of its previous stroke and the first segmentation threshold; and performing text segmentation according to the first text segmentation point to obtain a text segmentation result.
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公开(公告)号：US20240362038A1
公开(公告)日：2024-10-31
申请号：US18639183
申请日：2024-04-18
Applicant: BOE Technology Group Co., Ltd.
Inventor： Haifeng Xu , Guangwei Huang , Bingqian Wang
IPC: G06F9/451 , G06F3/04883 , G10L15/02
CPC classification number: G06F9/451 , G06F3/04883 , G10L15/02
Abstract: The present disclosure relates to the technical field of artificial intelligence, in particular to a function recommendation method and apparatus, a device, a program and a medium. The function recommendation method includes: acquiring target input information input by a user during executing of a first application; performing semantic parsing on the target input information to obtain target control information; determining at least one second application that satisfies a recommendation condition based on the target control information; and displaying a shortcut control corresponding to the at least one second application on a display interface of a terminal device.
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7.发明授权公开(公告)号：US11893765B2
公开(公告)日：2024-02-06
申请号：US17279684
申请日：2020-05-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Guangwei Huang , Ruibin Xue , Bingchuan Shi , Yue Li , Jibo Zhao
IPC: G06V10/24 , G06T7/13 , G06V30/413 , G06V30/146 , G06V10/94 , G06V10/44 , G06K7/14 , G06N3/02 , G06T3/60 , G06V10/82
CPC classification number: G06V10/247 , G06K7/1413 , G06N3/02 , G06T3/60 , G06T7/13 , G06V10/44 , G06V10/454 , G06V10/82 , G06V10/95 , G06V30/1478 , G06V30/413 , G06T2207/20084 , G06T2207/30176
Abstract: A method and apparatus for recognizing an imaged information-bearing medium, a computer-readable storage device and a computer device are provided. The method comprising: acquiring a first image of the imaged information-bearing medium; performing text recognition on the first image to acquire a text content of the imaged information-bearing medium; classifying the imaged information-bearing medium to acquire a type of the imaged information-bearing medium; and archiving the text content according to the type.
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公开(公告)号：US11651604B2
公开(公告)日：2023-05-16
申请号：US17263418
申请日：2020-03-31
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Guangwei Huang , Yue Li
IPC: G06T3/40 , G06V30/19 , G06T7/70 , G06V10/24 , G06V30/148
CPC classification number: G06V30/19173 , G06T3/40 , G06T7/70 , G06V10/24 , G06V30/153 , G06T2207/20084
Abstract: The present invention provides a word recognition method. The method includes: acquiring an image of a word to be recognized; recognizing edges of each character of the word to be recognized from the image of the word to be recognized; determining a geometric position of the word to be recognized; stretching the geometric position of the word to be recognized to a horizontal position; and recognizing the word to be recognized in the horizontal position.
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9.发明授权公开(公告)号：US11100369B2
公开(公告)日：2021-08-24
申请号：US16509774
申请日：2019-07-12
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Yue Li , Tingting Wang , Guangwei Huang
Abstract: The present disclosure provides a training method for a tag identification network, a tag identification apparatus/method and device. The training method for a tag identification network includes: acquiring a first number of first images, each of the first images having its standard tag; adjusting parameters of the tag identification network by utilizing the first number of first images and their standard tags; selecting a second number of first images from the first number of first images as images to be converted, the second number being smaller than the first number; performing a style conversion process on each of images to be converted to generate a second image corresponding thereto, and serving a standard tag of the image to be converted as a standard tag of the second image; and adjusting the parameters of the tag identification network by utilizing the second number of the second images and their standard tags.
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