The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

Ros, German, Sellart, Laura, Materzynska, Joanna, Vazquez, David, Lopez, Antonio M.·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (1,001)

Items 101–200 of 1,001

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  64. UnrealCV
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  79. Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
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