Weight-aware semi-supervised self-ensembling framework for interior decoration style classification

Automatic classification of interior decoration styles has great potential to guide and streamline the design process. Despite recent advancements, it remains challenging to construct an accurate interior decoration style recognition model due to the scarcity of expert annotations. In this article,...

詳細記述

書誌詳細

出版年:	Frontiers in Artificial Intelligence
主要な著者:	Lichun Guo, Hao Zeng, Junliang Wang, Shuang Liang, Wenlong Hang
フォーマット:	論文
言語:	英語
出版事項:	Frontiers Media S.A. 2025-09-01
主題:	self-ensembling consistency regularization contrastive learning interior decoration style semi-supervised learning
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/frai.2025.1645877/full