PETR: Prompt Ensembling with Training-free Routing for Vision-Language Models.

arXiv:2609.23600v1 Announce Type: cross Abstract: Prompt learning efficiently adapts vision-language models (VLMs) to downstream tasks, but gains on seen classes often come at the expense of generalization to unseen classes. To address this limitation, we prop