
By leveraging the inherent structure of unlabeled data through label propagation, the proposed ZLaP method can significantly improve the zero-shot classification performance of vision-language models in both transductive and inductive inference setups.


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zero-shot-classification-with-vision-language-models-leveraging-unlabeled-data-through-label-propagation


Zero-shot Classification with Vision-Language Models Leveraging Unlabeled Data through Label Propagation
