The proposed PromptSync method enhances zero-shot generalization in vision-language models by employing class-aware prototype alignment and discrimination during test-time adaptation.
A generalized linear probe (LP++) that efficiently adapts vision-language models like CLIP to few-shot classification tasks, outperforming recent prompt learning and adapter-based methods while being computationally efficient.