Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation

@article{Guan2022UnbiasedSR,
  title={Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation},
  author={Dayan Guan and Jiaxing Huang and Aoran Xiao and Shijian Lu},
  journal={2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2022},
  pages={9958-9968}
}
Semi-supervised semantic segmentation learns from small amounts of labelled images and large amounts of unlabelled images, which has witnessed impressive progress with the recent advance of deep neural networks. However, it often suffers from severe class-bias problem while exploring the unlabelled images, largely due to the clear pixel-wise class imbalance in the labelled images. This paper presents an unbiased subclass regularization network (USRN) that alleviates the class imbalance issue by… 

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