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일반화된 제로샷 학습을 위한 콘텐츠 및 속성 분리 방법

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dc.contributor.author김지희-
dc.contributor.author김상연-
dc.contributor.author안유진-
dc.date.accessioned2025-09-09T10:03:30Z-
dc.date.available2025-09-09T10:03:30Z-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/61458-
dc.description.abstract본 발명에서는 이미지를 콘텐츠와 속성 정보로 분리하는 콘텐츠-속성 분리 방법에 대해 제안한다. In the present invention, a content-attribute disentanglement method for disentangling an image into content and attribute information is proposed.-
dc.title일반화된 제로샷 학습을 위한 콘텐츠 및 속성 분리 방법-
dc.title.alternativeContent-Attribute Disentanglement for Generalized Zero-Shot Learning-
dc.typePatent-
dc.publisher.location대한민국-
dc.contributor.assignee동국대학교산학협력단-
dc.date.application2022-06-21-
dc.date.registration2025-05-28-
dc.type.iprs특허-
dc.identifier.patentRegistrationNumber10-2815955-
dc.identifier.patentApplicationNumber10-2022-0075781-
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College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
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