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公开(公告)号:US11003907B2
公开(公告)日:2021-05-11
申请号:US16321960
申请日:2016-07-30
Applicant: Huawei Technologies Co., Ltd.
Inventor: Changzhu Li , Xiyong Wang
IPC: G06K9/00 , H04N9/475 , G06K9/62 , G06N3/08 , G06F3/0484
Abstract: An image recognition method and a terminal, where the method includes obtaining, by the terminal, an image file including a target object recognizing, by the terminal, the target object based on an image recognition model in the terminal using a neural network computation apparatus in the terminal to obtain object category information of the target object, and storing, by the terminal, the object category information in the image file as first label information of the target object. Hence, image recognition efficiency of the terminal can be improved, and privacy of a terminal user can be effectively protected.
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12.
公开(公告)号:US10825447B2
公开(公告)日:2020-11-03
申请号:US16313044
申请日:2017-06-21
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Xiyong Wang , Hongrui Jiang , Huajun Cao
Abstract: Embodiments of the present invention relate to a method and an apparatus for optimizing a model applicable to pattern recognition, and a terminal device. The terminal device receives a universal model delivered by a server, where the universal model includes an original feature parameter; recognizes target information by using the universal model, and collects a plurality of local samples; when a model optimization condition is met, corrects the original feature parameter by using a first training algorithm to obtain a new feature parameter; and optimizes the universal model according to a second training algorithm and the new feature parameter, to obtain an optimized universal model. That is, in the present invention, the terminal device further optimizes, according to the collected local samples, the universal model received from the server to obtain a relatively personalized model applicable to pattern recognition.
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公开(公告)号:US20190180101A1
公开(公告)日:2019-06-13
申请号:US16321960
申请日:2016-07-30
Applicant: Huawei Technologies Co., Ltd.
Inventor: Changzhu Li , Xiyong Wang
Abstract: An image recognition method and a terminal, where the method includes obtaining, by the terminal, an image file including a target object recognizing, by the terminal, the target object based on an image recognition model in the terminal using a neural network computation apparatus in the terminal to obtain object category information of the target object, and storing, by the terminal, the object category information in the image file as first label information of the target object. Hence, image recognition efficiency of the terminal can be improved, and privacy of a terminal user can be effectively protected.
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