Sep 15, 2022 · In this work, we propose test-time prompt tuning (TPT), a method that can learn adaptive prompts on the fly with a single test sample.
In this work, we propose test-time prompt tuning (TPT), a method that can learn adaptive prompts on the fly with a single test sample. For image classification, ...
To this end, we propose test-time prompt tuning (TPT) as the first prompt tuning method that can learn adaptive prompts on the fly with a single test sample.
We consider 3 different initializations for test-time prompt tuning: Using a hand-crafted prompt as initialization (e.g., "a photo of a ___") Using a learned ...
Oct 31, 2022 · This paper proposes test-time prompt tuning (TPT), a method that can learn adaptive prompts on the fly with a single test sample. It optimizes ...
In this work, we introduce a robust multi- modal MeanShift Test-time Augmentation (MTA), which enhances the zero-shot generalization of CLIP models, leveraging ...
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Apr 3, 2024 · TPT tunes adaptive prompts on the fly with a single test sample. The tuned prompt is adapted to each task on each specific test sample. TPT ...
Test-time prompt tuning (TPT) is proposed, a method that can learn adaptive prompts on the fly with a single test sample and performs on par with the ...
May 3, 2024 · We introduce a robust MeanShift for Test-time Augmentation (MTA), which surpasses prompt-based methods without requiring this intensive training procedure.
Test-time prompt tuning for zero-shot generalization in vision-language models. Manli Shu, Weili Nie, De-an Huang, Zhiding Yu, Tom Goldstein, ...