UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models

In this work, we focus on a new and practical task of data pre-selection for data-efficient visual object recognition (Fig.1-a). The goal of data pre-selection is to select instances for labeling from an unlabeled dataset through a single pass to maximize model performance for unknown downstream vision tasks (e.g., no knowledge about