META FEW-SHOT CLASS INCREMENTAL LEARNING
    1.
    发明公开

    公开(公告)号:US20230153380A1

    公开(公告)日:2023-05-18

    申请号:US17527295

    申请日:2021-11-16

    Abstract: This disclosure provides for methods and system for meta few-shot class incremental learning. According to an aspect a method is provided. The method includes obtaining at least one weight attention map of a first network and updating weights of a second network using the at least one weight attention map, where the second network is a modulatory network. The method further includes generating at least one feature attention map of the second network based on the at least one weight attention map of the first network and a set of input images of at least one class. The method further includes generating at least one feature map of the first network based on the set of input images of the at least one class, and updating the at least one feature map of the first network based on the feature attention map of the second network.

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