All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation

Liyao Tang, Zhe Chen, Shanshan Zhao +2

Pseudo-labels are widely employed in weakly supervised 3D segmentation tasks where only sparse ground-truth labels are available for learning. Existing methods often rely on empiri…