U2PL
[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
Train models to understand images by using uncertain labels for better learning from both labeled and unlabeled data.
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Free · no card · unsubscribe anytime[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
U2PL has 478 stars on GitHub. It has been forked 61 times. U2PL is written mainly in Python. It has been in active development since 2022. U2PL is available under the Apache-2.0 license. Its main topics are cityscapes, computer-vision, contrastive-learning, cvpr2022.
What is U2PL?
[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
Is U2PL open source?
U2PL is an open-source project. It is released under the Apache-2.0 license.
Is U2PL free?
Yes. U2PL is free and open source — you can use, modify and self-host it.
What license does U2PL use?
U2PL is available under the Apache-2.0 license.
What language is U2PL written in?
U2PL is written mainly in Python.
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