IMAGE PROCESSING METHOD, MODEL TRAINING METHOD, RELEVANT DEVICES AND ELECTRONIC DEVICE

    公开(公告)号:US20220383626A1

    公开(公告)日:2022-12-01

    申请号:US17883248

    申请日:2022-08-08

    Abstract: An image processing method includes: obtaining a first categorical feature and M first image features corresponding to M first images respectively, each first image being associated with a task index, task indices associated with different first images being different from each other, M being a positive integer; fusing the M first image features with the first categorical feature respectively so as to obtain M first target features; performing feature extraction on the M first target features so as to obtain M second categorical features; selecting a second categorical feature corresponding to each task index from the M second categorical features, and performing regularization corresponding to the task index on the second categorical feature, to obtain a third categorical feature corresponding to the task index; and performing image processing in accordance with M third categorical features so as to obtain M first image processing results of the M first images.

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