3D Object Classification on ModelNet 8k points 40 (test)
0.945AccuracyPoint-SRA
Evaluation results
| Method | Links | |
|---|---|---|
| Point-SRALearning Paradigm=Cross-Modal Self-Supervised Representation Learning2026.01 | 0.945 | |
| ReConLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2026.01 | 0.943 | |
| Point-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2026.01 | 0.94 | |
| ACTLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2026.01 | 0.94 | |
| Point-MAELearning Paradigm=MAE-based SSL2025.12 | 0.94 | |
| Point-BERTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2026.01 | 0.938 | |
| PointDicoLearning Paradigm=Diffusion-based SSL, Voting Strategy=true2025.12 | 0.926 | |
| PointNet++Learning Paradigm=Supervised Learning Only2026.01 | 0.919 | |
| PointNet++Learning Paradigm=Supervised Learning2025.12 | 0.919 | |
| PointNetLearning Paradigm=Supervised Learning Only2026.01 | 0.908 | |
| PointNetLearning Paradigm=Supervised Learning2025.12 | 0.908 |