paper-with-me

3D Point Cloud Linear Classification 벤치마크

3D Point Cloud Linear Classification on ScanObjectNN

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Overall Accuracy

78.3 80.24 82.18 84.12 86.06 2020-10 2026-11 OcCo — 78.3 (2020-10-02) CrossPoint — 81.7 (2022-03-01) CrossMoCo — 86.06 (2023-06-08) AdaCrossNet — 82.1 (2025-01-02) OcCo — 78.3 (2020-10-02) CrossPoint — 81.7 (2022-03-01) CrossMoCo — 86.06 (2023-06-08)
RankModel Overall Accuracy PaperCodeYear
1 CrossMoCo 86.06 CrossMoCo: Multi-modal Momentum Contrastive Learning for Point Cloud snehaputul/CrossMoCo 2023
2 AdaCrossNet 82.1 AdaCrossNet: Adaptive Dynamic Loss Weighting for Cross-Modal Contrastive Point Cloud Learning virgantara/AdaCrossNet 2025
3 CrossPoint 81.7 CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding mohamedafham/crosspoint 2022
4 OcCo 78.3 Unsupervised Point Cloud Pre-Training via Occlusion Completion hansen7/OcCo 2020
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