AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Adapt semantic segmentation models to work better with real-world images using a Python implementation.
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AdaptSegNet has 859 stars on GitHub. It has been forked 208 times. AdaptSegNet is written mainly in Python. It has been in active development since 2018. Its main topics are adversarial-learning, computer-vision, deep-learning, domain-adaptation.
What is AdaptSegNet?
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Is AdaptSegNet open source?
AdaptSegNet is an open-source project.
Is AdaptSegNet free?
Yes. AdaptSegNet is free and open source — you can use, modify and self-host it.
What language is AdaptSegNet written in?
AdaptSegNet is written mainly in Python.
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