Ouyang Xu

Inconsistency-Based Data-Centric Active Open-Set Annotation

Active learning, a method to reduce labeling effort for training deep neural networks, is often limited by the assumption that all unlabeled data belong to known classes. This closed-world assumption fails in practical scenarios with unknown classes in the data, leading to active open-set annotation…