SemiGDA aligns feature and semantic distributions via dual encoders and skip adapters to boost semi-supervised medical image segmentation.
An exceedingly simple consistency regularization method for semi-supervised medical image segmentation
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SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation
SemiGDA aligns feature and semantic distributions via dual encoders and skip adapters to boost semi-supervised medical image segmentation.