POLYNOMIAL SELF-ATTENTION
    1.
    发明公开

    公开(公告)号:US20230410475A1

    公开(公告)日:2023-12-21

    申请号:US18460319

    申请日:2023-09-01

    Abstract: A classification apparatus for allocating a raw image to a respective class out of a plurality of classes, the apparatus comprising one or more processors and a memory storing in non-transient form data defining program code executable by the one or more processors to implement an image classification model, the apparatus being configured to: receive a raw image; generate a plurality of raw matrices from the raw image, wherein each of the plurality of raw matrices is formed by one spatial value and one characteristic value; and allocate the raw image to the respective class depending on the plurality of raw matrices. By forming each of the raw matrices by one spatial value and one characteristic value the computational cost may be reduced.

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