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OntoAug: Rethinking Generative Data Augmentation via Ontology Guidance

OntoAug is an ontology-oriented data augmentation framework that explicitly distinguishes between subject and environment, and achieves strong performance across multiple tasks, including image classification, few-shot learning, weakly supervised object localization (WSOL), and large vision-language model reasoning.

Shuo Wang, Zhichuan Wang, Jun Luo · 0 citations