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公开(公告)号:US20230153380A1
公开(公告)日:2023-05-18
申请号:US17527295
申请日:2021-11-16
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Zhixiang CHI , Li GU , Huan LIU , Yuanhao YU , Yang WANG , Jin TANG
CPC classification number: G06K9/6232 , G06K9/6262 , G06K9/6257 , G06K9/6279 , G06K9/00979 , G06N3/0454 , G06N3/08
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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公开(公告)号:US20240046107A1
公开(公告)日:2024-02-08
申请号:US17966568
申请日:2022-10-14
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Zhixiang CHI , Li GU , Tao ZHONG , Yuanhao YU , Yang WANG , Jin TANG
CPC classification number: G06N3/088 , G06N3/0427
Abstract: A method has the steps of obtaining a set of training samples from one or more domains, using the set of training samples to query a plurality of artificial-intelligence (AI) models, combining the outputs of the queried AI models, and adapting a target AI model via knowledge distillation using the combined outputs.
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