Kernkonzepte
COCA method utilizes textual prototypes for few-shot learners in SF-UniDA, outperforming existing models.
Statistiken
COCA는 state-of-the-art UniDA 및 SF-UniDA 모델을 능가하는 성능을 보여줍니다.
Zitate
"COCA is a new paradigm to tackle SF-UniDA challenges based on VLMs."
"Experiments show that COCA outperforms state-of-the-art UniDA and SF-UniDA models."