3D Object Recognition on ScanObjectNN OBJ_ONLY fine-tuned
97.59Overall AccuracyRECON++-L
Evaluation results
| Method | Links | |
|---|---|---|
| RECON++-LTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 97.59 | |
| PointGPT-LTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 96.6 | |
| RECON++-BTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 96.21 | |
| PointGPT-BTraining Paradigm=Self-Supervised, Post-pretraining=true, Voting=true2024.02 | 95.2 | |
| RECONTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 93.8 | |
| ACTTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 91.91 | |
| VPPTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 91.91 | |
| I2P-MAETraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 91.57 | |
| Point2VecTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 90.4 | |
| Point-M2AETraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 88.81 | |
| Point-MAETraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 88.29 | |
| Point-BERTTraining Paradigm=Self-Supervised, Post-pretraining=false, Voting=true2024.02 | 88.12 | |
| DGCNNTraining Paradigm=Supervised, Post-pretraining=false, Voting=true2024.02 | 86.2 | |
| PointNet++Training Paradigm=Supervised, Post-pretraining=false, Voting=true2024.02 | 84.3 | |
| PointNetTraining Paradigm=Supervised, Post-pretraining=false, Voting=true2024.02 | 79.2 |