3D Object Classification on ModelNet40 26 (test)
94.1Overall AccuracyPointMLP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PointMLPParam.=13.2, FLOPs=31.4, TP=3702026.03 | 94.1 | 91.3 | |
| HPENetParam.=5.9, FLOPs=8.7, TP=13082026.03 | 94 | 90.8 | |
| HPENet (SIN)Param.=5.9, FLOPs=8.6, TP=12062026.03 | 94 | 91.3 | |
| HPENet V2-SCe=64, best-single-run=true, Param.=5.1, FLOPs=3.1, TP=20082026.03 | 94 | 91.7 | |
| CurveNetParam.=2.02026.03 | 93.8 | 91.1 | |
| Point Transformer2026.03 | 93.7 | 90.6 | |
| PointVectorParam.=1.6, FLOPs=1.7, TP=14862026.03 | 93.7 | 91.6 | |
| PointNeXt-SCe=64, Param.=4.5, FLOPs=6.5, TP=19522026.03 | 93.7 | 90.9 | |
| HPENet V2-Sbest-single-run=true, Param.=1.4, FLOPs=0.8, TP=38592026.03 | 93.7 | 90.8 | |
| HPENet V2-SCe=64, Param.=5.1, FLOPs=3.1, TP=20082026.03 | 93.7 | 91.2 | |
| DeepGCNParam.=2.2, FLOPs=3.9, TP=6292026.03 | 93.6 | 90.9 | |
| HPENet V2-SParam.=1.4, FLOPs=0.8, TP=38592026.03 | 93.5 | 90.8 | |
| PointNeXt-SParam.=1.4, FLOPs=1.6, TP=40502026.03 | 93.2 | 90.8 | |
| DGCNNParam.=1.8, FLOPs=4.8, TP=10932026.03 | 92.9 | 90.2 | |
| PointConvParam.=18.62026.03 | 92.5 | — | |
| PointCNNParam.=0.62026.03 | 92.2 | 88.1 | |
| PointNet++Param.=1.5, FLOPs=1.7, TP=30192026.03 | 91.9 | — | |
| PointNetParam.=3.5, FLOPs=0.9, TP=68482026.03 | 89.2 | 86.2 |