Object Recognition on ModelNet40 fully-supervised (test)
95.2Overall Accuracy (OA)Point-BERT + MCFT
Evaluation Results
| Method | Links | |
|---|---|---|
| Point-BERT + MCFTBackbone=Point-BERT, #TP (M)=22.7, FLOPs=4.82026.03 | 95.2 | |
| RECON + MCFTBackbone=RECON, #TP (M)=22.7, FLOPs=4.82026.03 | 95.2 | |
| Point-MAE + MCFTBackbone=Point-MAE, #TP (M)=22.7, FLOPs=4.82026.03 | 94.9 | |
| RECON + MoSTBackbone=RECON, #TP (M)=23.4, FLOPs=4.82026.03 | 94.7 | |
| PointMLP#TP (M)=13.2, FLOPs=31.42026.03 | 94.5 | |
| Point-MAE + IDPTBackbone=Point-MAE, #TP (M)=23.8, FLOPs=7.22026.03 | 94.4 | |
| RECON + DAPTBackbone=RECON, #TP (M)=23.2, FLOPs=5.02026.03 | 94.1 | |
| RECON + PointGSTBackbone=RECON, #TP (M)=22.7, FLOPs=4.82026.03 | 94.1 | |
| Point-M2AE#TP (M)=15.3, FLOPs=3.62026.03 | 94 | |
| Point-MAE + DAPTBackbone=Point-MAE, #TP (M)=23.2, FLOPs=5.02026.03 | 94 | |
| Point-MAE + PointGSTBackbone=Point-MAE, #TP (M)=22.7, FLOPs=4.82026.03 | 94 | |
| RECON#TP (M)=43.6, FLOPs=5.32026.03 | 93.9 | |
| MaskPoint#TP (M)=22.12026.03 | 93.8 | |
| Point-MAE#TP (M)=22.1, FLOPs=4.82026.03 | 93.8 | |
| Point-BERT + PointGSTBackbone=Point-BERT, #TP (M)=22.7, FLOPs=4.82026.03 | 93.8 | |
| ACT#TP (M)=22.1, FLOPs=4.82026.03 | 93.7 | |
| Point-BERT + DAPTBackbone=Point-BERT, #TP (M)=23.2, FLOPs=5.02026.03 | 93.6 | |
| RECON + IDPTBackbone=RECON, #TP (M)=23.8, FLOPs=7.22026.03 | 93.5 | |
| Point-BERT + IDPTBackbone=Point-BERT, #TP (M)=23.8, FLOPs=7.22026.03 | 93.4 | |
| Point-MAE + PPTBackbone=Point-MAE, #TP (M)=23.4, FLOPs=4.82026.03 | 93.4 | |
| RECON + PPTBackbone=RECON, #TP (M)=23.22026.03 | 93.4 | |
| Point-BERT#TP (M)=22.1, FLOPs=4.82026.03 | 93.2 | |
| DGCNN#TP (M)=1.8, FLOPs=2.42026.03 | 92.9 | |
| OcCo#TP (M)=22.1, FLOPs=4.82026.03 | 92.1 | |
| PointNet++#TP (M)=1.5, FLOPs=1.72026.03 | 90.7 | |
| PointNet#TP (M)=3.5, FLOPs=0.52026.03 | 89.2 |