Enhancing zero-shot scene recognition through semantic autoencoders and visual relation transfer

Abstract Zero-shot learning enables the recognition of images from unseen classes by leveraging auxiliary semantic information. Traditional methods typically learn either the relationship between the visual features and the semantic vectors or that between the seen and the unseen semantic vectors. H...

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Autors principals:	Chen Wang, Man Wang, Guohua Peng, Bernard De Baets, Xiong Pan
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-12-01
Col·lecció:	Scientific Reports
Matèries:	Semantic autoencoders Visual relation transfer Zero-shot learning Scene recognition
Accés en línia:	https://doi.org/10.1038/s41598-025-28158-4
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