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VisDA Challengehttp://ai.bu.edu/visda-2017/
https://patch-diff.githubusercontent.com/Sshanu/AdaptSegNet#paper
Learning to Adapt Structured Output Space for Semantic Segmentationhttps://arxiv.org/abs/1802.10349
Yi-Hsuan Tsaihttps://sites.google.com/site/yihsuantsai/home
Wei-Chih Hunghttps://hfslyc.github.io/
Samuel Schulterhttps://samschulter.github.io/
Kihyuk Sohnhttps://sites.google.com/site/kihyuksml/
Ming-Hsuan Yanghttp://faculty.ucmerced.edu/mhyang/index.html
Manmohan Chandrakerhttp://cseweb.ucsd.edu/~mkchandraker/
https://patch-diff.githubusercontent.com/Sshanu/AdaptSegNet#example-results
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http://pytorch.orghttp://pytorch.org
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GTA5 Datasethttps://download.visinf.tu-darmstadt.de/data/from_games/
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https://patch-diff.githubusercontent.com/Sshanu/AdaptSegNet#testing
GTA5-to-Cityscapes modelhttp://vllab.ucmerced.edu/ytsai/CVPR18/GTA2Cityscapes_multi-ed35151c.pth
Model Linkhttp://vllab.ucmerced.edu/ytsai/CVPR18/GTA2Cityscapes_vgg-ac4ac9f6.pth
VisDA Challengehttp://ai.bu.edu/visda-2017/
https://patch-diff.githubusercontent.com/Sshanu/AdaptSegNet#training-examples
https://patch-diff.githubusercontent.com/Sshanu/AdaptSegNet#related-implementation-and-dataset
[paper]https://arxiv.org/abs/1901.05427
[paper]https://arxiv.org/abs/1802.07934
[code]https://github.com/hfslyc/AdvSemiSeg
[paper]https://arxiv.org/abs/1704.08509
[project]https://yihsinchen.github.io/segmentation_adaptation/
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