Transferring and Regularizing Prediction for Semantic Segmentation

CVPR 2020 Yiheng ZhangZhaofan QiuTing YaoChong-Wah NgoDong LiuTao Mei

Semantic segmentation often requires a large set of images with pixel-level annotations. In the view of extremely expensive expert labeling, recent research has shown that the models trained on photo-realistic synthetic data (e.g., computer games) with computer-generated annotations can be adapted to real images... (read more)

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