Unsupervised Domain Adaptation For Semantic Segmentation With Symmetric Adaptation Consistency

Unsupervised domain adaptation, which leverages label information from other domains to solve tasks on a domain without any labels, can alleviate the problem of the scarcity of labels and expensive labeling costs faced by supervised semantic segmentation.
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