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	https://github.com/Sshanu/AdaptSegNet#learning-to-adapt-structured-output-space-for-semantic-segmentation
VisDA Challenge	http://ai.bu.edu/visda-2017/
	https://github.com/Sshanu/AdaptSegNet#paper
Learning to Adapt Structured Output Space for Semantic Segmentation	https://arxiv.org/abs/1802.10349
Yi-Hsuan Tsai	https://sites.google.com/site/yihsuantsai/home
Wei-Chih Hung	https://hfslyc.github.io/
Samuel Schulter	https://samschulter.github.io/
Kihyuk Sohn	https://sites.google.com/site/kihyuksml/
Ming-Hsuan Yang	http://faculty.ucmerced.edu/mhyang/index.html
Manmohan Chandraker	http://cseweb.ucsd.edu/~mkchandraker/
	https://github.com/Sshanu/AdaptSegNet#example-results
	https://github.com/Sshanu/AdaptSegNet/blob/master/figure/result_git.png
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	https://github.com/Sshanu/AdaptSegNet#testing
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	https://github.com/Sshanu/AdaptSegNet#training-examples
	https://github.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/
	https://github.com/Sshanu/AdaptSegNet#acknowledgment
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