Leveraging Vision-Language Models as Weak Annotators in Active Learning
arXiv:2605.00480v1 Announce Type: new
Abstract: Active learning aims to reduce annotation cost by selectively querying informative samples for supervision under a limited labeling budget. In this work, we investigate how vision-language models (VLMs) …