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자기 정규화를 통한 도메인 불변 특징 학습
Learning Domain Invariant Representation via Self-Rugularization 원문보기

韓國軍事科學技術學會誌 = Journal of the KIMST, v.24 no.4, 2021년, pp.382 - 391  

현재국 (국방과학연구소 미사일연구원) ,  이찬용 (국방과학연구소 미사일연구원) ,  김호성 (국방과학연구소 미사일연구원) ,  유현정 (국방과학연구소 미사일연구원) ,  고은진 (국방과학연구소 미사일연구원)

Abstract ▼ AI-Helper 아이콘AI-Helper

Unsupervised domain adaptation often gives impressive solutions to handle domain shift of data. Most of current approaches assume that unlabeled target data to train is abundant. This assumption is not always true in practices. To tackle this issue, we propose a general solution to solve the domain ...

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#도메인 적응   #도메인 일반화   #스타일 이전   #컨볼루션 뉴럴 네트워크  

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