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公开(公告)号:US20220374678A1
公开(公告)日:2022-11-24
申请号:US17817449
申请日:2022-08-04
Inventor: Teng Xi , Can Cao , Gang Zhang
IPC: G06N3/04
Abstract: The disclosure provides a method for determining a pre-training model, an electronic device and a storage medium, relates to a technical field of computer vision and deep learning, and can be applied to scenes such as image processing and image recognition. The method includes: obtaining a plurality of candidate models; obtaining a structural code of each candidate model by performing structural coding according to model structures of the plurality of candidate models; obtaining a frequency domain code of each candidate model by mapping the structural code of each candidate model using a trained encoder; predicting a model performance parameter of each candidate model according to the frequency domain code of each candidate model; and determining a target model from the plurality of candidate models as a pre-training model according to the model performance parameter of each candidate model.
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公开(公告)号:US20230213388A1
公开(公告)日:2023-07-06
申请号:US17998881
申请日:2020-10-14
Inventor: Haocheng Feng , Haixiao Yue , Keyao Wang , Gang Zhang , Yanwen Fan , Xiyu Yu , Junyu Han , Jingtuo Liu , Errui Ding , Haifeng Wang
IPC: G01J5/00
CPC classification number: G01J5/0025 , G01J2005/0077
Abstract: A method and an apparatus for measuring temperature, and a computer-readable storage medium includes detecting a target position of an object in an input image; determining key points of the target position and weight information of each key point based on a detection result of the target position, in which the weight information is configured to indicate a probability of each key point being covered; acquiring temperature information of each key point; and determining a temperature of the target position at least based on the temperature information and the weight information of each key point.
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公开(公告)号:US20230120985A1
公开(公告)日:2023-04-20
申请号:US18083313
申请日:2022-12-16
Inventor: Yanwen Fan , Xiyu Yu , Gang Zhang , Jingtuo Liu , Haifeng Wang , Errui Ding , Junyu Han
IPC: G06V10/774 , G06V40/16 , G06V10/26 , G06V10/77
Abstract: A method for training a face recognition model includes: acquiring a plurality of first training images being uncovered face images, and acquiring a plurality of covering object images; generating a plurality of second training images by separately fusing the plurality of covering object images with the uncovered face images; and training the face recognition model by inputting the plurality of first training images and the plurality of second training images into the face recognition model.
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