Uncertainty-weighted prototype active learning in domain adaptive semantic segmentation

Zihao Dong, Sijie Niu, Xizhan Gao, Jinping Li, Xiuli Shao

Abstract: Highlights•Uncertainty-weighted prototype active learning assists domain adaptive segmentation.•Prototypical anchors strategy flexibly describes cross domain feature distribution.•Prototype-based selection solution considers both sample uncertainty and diversity.•Extensive experiments show the effectiveness of active domain adaptive segmentation.