Align your prompts: Test-time prompting with distribution alignment for zero-shot generalization

J Hassan, H Gani, N Hussein, MU Khattak… - arXiv preprint arXiv …, 2023 - arxiv.org
The promising zero-shot generalization of vision-language models such as CLIP has led to
their adoption using prompt learning for numerous downstream tasks. Previous works have …
被引用次数：5 相关文章

Align your prompts: test-time prompting with distribution alignment for zero-shot generalization

J Hassan, H Gani, N Hussein, MU Khattak… - Proceedings of the 37th …, 2023 - dl.acm.org
The promising zero-shot generalization of vision-language models such as CLIP has led to
their adoption using prompt learning for numerous downstream tasks. Previous works have …

Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization

J Hassan, H Gani, N Hussein, M Uzair Khattak… - arXiv e …, 2023 - ui.adsabs.harvard.edu
The promising zero-shot generalization of vision-language models such as CLIP has led to
their adoption using prompt learning for numerous downstream tasks. Previous works have …

[引用][C] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization

J Hassan - jameelhassan.github.io

Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization

J Hassan, H Gani, N Hussein… - Advances in Neural …, 2023 - nchr.elsevierpure.com
The promising zero-shot generalization of vision-language models such as CLIP has led to
their adoption using prompt learning for numerous downstream tasks. Previous works have …