Topology-Aware Self-Training Framework Improves Semi-Supervised 3D Shape Segmentation
Researchers developed a topology-aware multi-task self-training framework that mitigates pseudo-label noise and improves semi-supervised 3D shape segmentation.
Researchers developed a topology-aware multi-task self-training framework that mitigates pseudo-label noise and improves semi-supervised 3D shape segmentation.
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