Dear Editor,This letter develops two new self-training strategies for domain adaptive semantic segmentation,which formulate self-training into the processes of mining more training samples and reducing influence of th...Dear Editor,This letter develops two new self-training strategies for domain adaptive semantic segmentation,which formulate self-training into the processes of mining more training samples and reducing influence of the false pseudo-labels.Particularly,a self-training strategy based on entropy-ranking is proposed to mine intra-domain information.展开更多
基金supported by the Key Research and Development Program of Hubei Province(2020BAB113)the Natural Science Fund of Hubei Province(2019CFA037)。
文摘Dear Editor,This letter develops two new self-training strategies for domain adaptive semantic segmentation,which formulate self-training into the processes of mining more training samples and reducing influence of the false pseudo-labels.Particularly,a self-training strategy based on entropy-ranking is proposed to mine intra-domain information.
