A regularized self-training framework that softens pseudo-labels or network outputs improves unsupervised domain adaptation over the class-balanced self-training baseline.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs
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Confidence Regularized Self-Training
A regularized self-training framework that softens pseudo-labels or network outputs improves unsupervised domain adaptation over the class-balanced self-training baseline.