Transferring and regularizing prediction for semantic segmentation

• Main Authors: ZHANG, Yiheng, QIU, Zhaofan, YAO, Ting, NGO, Chong-wah, LIU, Dong, MEI, Tao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Data Storage Systems; Graphics and Human Computer Interfaces
• 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
• Institution: Singapore Management University

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...