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.
Qi, Leonidas Guibas, and Or Litany, ”PointContrast: Unsupervised pre-training for 3D point cloud understanding,” in ECCV, 2020, pp
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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.