2020
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
ECCV 2020poster
Active learning (AL) combines data labeling and model training to minimize the labeling cost by prioritizing the selection of high value data that can best improve model performance. In pool-based active learning, accessible unlabeled data are not used for model training in most conventional methods…