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Jul, 2021
DSP: 无监督域自适应语义分割的双重软粘贴
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
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Li Gao, Jing Zhang, Lefei Zhang, Dacheng Tao
TL;DR
本文提出了一种基于 Dual Soft-Paste 和平均 teacher 框架的无监督领域适应方法,利用概率对齐和特征对齐,更好地学习领域不变特征,并在两个基准测试上展示出优越性。
Abstract
unsupervised domain adaptation
(UDA) for
semantic segmentation
aims to adapt a segmentation model trained on the labeled source domain to the unlabeled target domain. Existing methods try to learn domain invarian
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