ASAug uses entropy-adaptive rotation and translation as strong augmentations in a teacher-student consistency framework, improving semi-supervised semantic segmentation by 0.5 to 4 mIoU on three benchmarks.
Dual-level masked semantic inference for semi-supervised semantic segmentation,
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Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation
ASAug uses entropy-adaptive rotation and translation as strong augmentations in a teacher-student consistency framework, improving semi-supervised semantic segmentation by 0.5 to 4 mIoU on three benchmarks.