Open-set domain adaptation with visual-language foundation models

Qing Yu, Go Irie, Kiyoharu Aizawa

Abstract: Highlights•We investigate zero-shot predictions from CLIP for open-set domain adaptation.•We propose entropy optimization for CLIP predictions to enhance ODA performance.•Our method outperforms existing approaches in ODA and source-free ODA benchmarks.