Abstract: Semi-supervised semantic segmentation with consistency regularization capitalizes on unlabeled images to enhance the accuracy of pixel-level segmentation. Current consistency learning ...
Abstract: Self-training is a strong baseline for semi-supervised domain adaptive semantic segmentation. However, it inevitably introduces biased links between features and concepts in the prediction ...
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