3D Object Recognition on ScanObjectNN OBJ_BG fine-tuned
98.8Overall AccuracyRECON++-L
Evaluation results
| Method | Links | |
|---|---|---|
| RECON++-LTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 98.8 | |
| RECON++-BTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 98.62 | |
| PointGPT-LTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 97.2 | |
| PointGPT-BTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 95.8 | |
| RECONTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 95.35 | |
| I2P-MAETraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 94.15 | |
| ACTTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 93.29 | |
| VPPTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 93.11 | |
| Point-M2AETraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 91.22 | |
| Point2VecTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 91.2 | |
| Point-MAETraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 90.02 | |
| Point-BERTTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 87.43 | |
| DGCNNTraining Paradigm=Supervised, Post-pretraining=false, Voting=true2024.02 | 82.8 | |
| PointNet++Training Paradigm=Supervised, Post-pretraining=false, Voting=true2024.02 | 82.3 | |
| PointNetTraining Paradigm=Supervised, Post-pretraining=false, Voting=true2024.02 | 73.3 |