Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation

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...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence 2021-07, Vol.43 (7), p.2360-2372
Hauptverfasser: Dundar, Aysegul, Liu, Ming-Yu, Yu, Zhiding, Wang, Ting-Chun, Zedlewski, John, Kautz, Jan
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Sprache:eng
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