Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation.

IEEE Transactions on Pattern Analysis and Machine Intelligence(2021)

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摘要
Generating computer graphics (CG) rendered synthetic images has been widely used to create simulation environments for robotics/autonomous driving and generate labeled data. Yet, the problem of training models purely with synthetic data remains challenging due to the considerable domain gaps caused by current limitations on rendering. In this paper, we propose a simple yet effective domain adaptat...
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关键词
Image segmentation,Semantics,Training,Task analysis,Gallium nitride,Adaptation models,Data models
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