METHOD AND APPARATUS WITH DYNAMIC CONVOLUTION

    公开(公告)号:US20230102335A1

    公开(公告)日:2023-03-30

    申请号:US17722858

    申请日:2022-04-18

    Abstract: A method with dynamic convolution includes: determining kernel adaptation weights corresponding to weight matrices in a category set represented by a plurality of predetermined discrete values; determining a unified kernel based on the weight matrices and the kernel adaptation weights corresponding to the weight matrices; and performing a convolution operation based on the unified kernel.

    METHOD AND APPARATUS WITH ATTENTION-BASED OBJECT ANALYSIS

    公开(公告)号:US20240153130A1

    公开(公告)日:2024-05-09

    申请号:US18342892

    申请日:2023-06-28

    CPC classification number: G06T7/73 G06T7/50 G06V10/25 G06V10/764 G06V10/771

    Abstract: An apparatus includes one or more processors configured to generate a plurality of feature maps having respective different resolutions based on an input image; and update, for each of the plurality of transformer layers, respective position estimation information comprising first position information of a respective bounding box corresponding to one object query and second position information of respective key points corresponding to the one object query, wherein each of the plurality of transformer layers includes a self-attention model configured to generate respective intermediate data by performing self-attention on respective content information on a feature of the input image; and a cross-attention model configured to generate respective output data by performing cross-attention on respective one or more feature maps among the plurality of feature maps and the respective generated intermediate data.

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