Transferring and regularizing prediction for semantic segmentation
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 t...
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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2020
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6474 https://ink.library.smu.edu.sg/context/sis_research/article/7477/viewcontent/Zhang_Transferring_and_Regularizing_Prediction_for_Semantic_Segmentation_CVPR_2020_paper.pdf |
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| Institution: | Singapore Management University |
| Language: | English |