DistributionAlignment and Random Sampling (DARS) method to produce unbiased pseudo labelsthat match the true class distribution estimated from the labeled data . Code will be available athttps://://github.com/CVMI-Lab/DARS . Experiments on both Cityscapes and PASCAL VOC 2012 datasets demonstrate effectiveness of our approach . Albeit simple, our method performs favorably in comparison with state-of-the-art approaches . We also contribute a progressive data augmentation strategy to facilitate model training with pseudo-labeled data .

Author(s) : Ruifei He, Jihan Yang, Xiaojuan Qi

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Keywords : pseudo - data - dars - method - labeled -

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