Invention Publication
- Patent Title: METHOD AND DEVICE FOR DOMAIN GENERALIZED INCREMENTAL LEARNING UNDER COVARIATE SHIFT
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Application No.: US18207520Application Date: 2023-06-08
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Publication No.: US20240169261A1Publication Date: 2024-05-23
- Inventor: Hyoeun KIM , Kamin LEE , Yeonjee JUNG , Hyejeong JEON , Arin MINASIAN
- Applicant: LG ELECTRONICS INC.
- Applicant Address: KR Seoul
- Assignee: LG ELECTRONICS INC.
- Current Assignee: LG ELECTRONICS INC.
- Current Assignee Address: KR Seoul
- Main IPC: G06N20/00
- IPC: G06N20/00

Abstract:
A computer-implemented method includes obtaining a labeled data set of images including data from a rehearsal memory and new input data, augmenting the labeled data set to generate a first data set and a second data set, wherein each image of the first data set corresponds to a corresponding image of the second data set, inputting the first data set into a query encoder and inputting the second data set into a momentum encoder to obtain encodings output by the query encoder and the momentum encoder, obtaining a contrastive loss based on the encodings using a sum of a first contrastive loss function and a second contrastive loss function, updating parameters of the query encoder based on the obtained contrastive loss, and updating parameters of the momentum encoder based on parameters of the query encoder.
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