:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).
Use a method to improve image segmentation by training models with fewer labeled examples.
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CCT has 412 stars on GitHub. It has been forked 56 times. CCT is written mainly in Python. It has been in active development since 2020. CCT is available under the MIT license. Its main topics are computer-vision, semantic-segmentation, semi-supervised-learning.
:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).
CCT is an open-source project. It is released under the MIT license.
Yes. CCT is free and open source — you can use, modify and self-host it.
CCT is available under the MIT license.
CCT is written mainly in Python.
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