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 ...
Abstract: Recently, self-supervised pretraining algorithms have been extensively investigated in the field of remote sensing, yielding significant performance improvements in change detection tasks.
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