Point-level ambiguity from local label disagreement is used to shrink contrastive margins, even to negative values, and this improves 3D semantic segmentation on S3DIS and ScanNet.
Guibas, ”PointNet++: Deep hierarchical feature learning on point sets in a metric space,” NeurIPS, vol
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Adaptive Margin Contrastive Learning for Ambiguity-aware 3D Semantic Segmentation
Point-level ambiguity from local label disagreement is used to shrink contrastive margins, even to negative values, and this improves 3D semantic segmentation on S3DIS and ScanNet.