Integrating Semi-Supervised and Active Learning for Semantic Segmentation
arXiv:2501.19227v2 Announce Type: replace-cross
Abstract: In this paper, we propose a novel active learning approach integrated with an improved semi-supervised learning framework to reduce the cost of manual annotation and enhance model performance. …