3D Object Recognition on ScanObjectNN PB_T50_RS fine-tuned
95.25Overall AccuracyRECON++-L
Evaluation results
| Method | Links | |
|---|---|---|
| RECON++-LTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 95.25 | |
| PointGPT-LTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 93.4 | |
| RECON++-BTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 93.34 | |
| PointGPT-BTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 91.9 | |
| ULIP-2Training Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 91.5 | |
| RECONTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 91.26 | |
| I2P-MAETraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 90.11 | |
| VPPTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 89.28 | |
| TAPTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 88.5 | |
| ACTTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 88.21 | |
| PointNeXtTraining Paradigm=Supervised, Post-pretraining=false, Voting=true2024.02 | 87.7 | |
| Point2VecTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 87.5 | |
| Point-M2AETraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 86.43 | |
| PointMLPTraining Paradigm=Supervised, Post-pretraining=false, Voting=true2024.02 | 85.4 | |
| Point-MAETraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 85.18 | |
| Point-BERTTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 83.07 | |
| DGCNNTraining Paradigm=Supervised, Post-pretraining=false, Voting=true2024.02 | 78.1 | |
| PointNet++Training Paradigm=Supervised, Post-pretraining=false, Voting=true2024.02 | 77.9 | |
| PointNetTraining Paradigm=Supervised, Post-pretraining=false, Voting=true2024.02 | 68 |