Pilsung Kang

Avoid wasted annotation costs in open-set active learning with pre-trained vision–language model

Active learning (AL) aims to improve model performance by selectively collecting highly informative data and reducing annotation costs. In practice, however, unlabeled data may include out-of-distribution (OOD) samples that are not used for training, which can lead to wasted anno...