3D Object Classification on ScanObjectNN
90.63AccuracyReCon
Evaluation Results
| Method | Links | |
|---|---|---|
| ReConMasked Centers Leakage=true, Single/Cross-Modal=Cross, Pre-trained Model Needed=true, # Params=140.9, GFLOPS=18.2, Time (h)=44.42024.08 | 90.63 | |
| PCP-MAEMasked Centers Leakage=false, Single/Cross-Modal=Single, Pre-trained Model Needed=false, # Params=29.5, GFLOPS=2.9, Time (h)=12.32024.08 | 90.35 | |
| Point-FEMAEMasked Centers Leakage=true, Single/Cross-Modal=Single, Pre-trained Model Needed=false, # Params=41.5, GFLOPS=4.4, Time (h)=32.22024.08 | 90.22 | |
| I2P-MAEMasked Centers Leakage=true, Single/Cross-Modal=Cross, Pre-trained Model Needed=true, # Params=74.9, GFLOPS=14.6, Time (h)=42.62024.08 | 90.11 | |
| CSConFramework=Contrastive, #Params (M)=22.1 (0.76x), Local=true, Objective=high-level, Evaluation Protocol=MLP-32025.12 | 89.8 | |
| ReConFramework=Generative, #Params (M)=140.9 (4.85x), Local=true, Objective=low-level, Evaluation Protocol=MLP-32025.12 | 88.4 | |
| Point-PQAEFramework=Generative, #Params (M)=29.5 (1.02x), Local=true, Objective=low-level, Evaluation Protocol=MLP-32025.12 | 88.3 | |
| ACTMasked Centers Leakage=true, Single/Cross-Modal=Cross, Pre-trained Model Needed=true, # Params=135.5, GFLOPS=23.0, Time (h)=34.82024.08 | 88.21 | |
| PCP-MAEFramework=Generative, #Params (M)=29.5 (1.02x), Local=true, Objective=low-level, Evaluation Protocol=MLP-32025.12 | 88.1 | |
| CSConFramework=Contrastive, #Params (M)=22.1 (0.76x), Local=true, Objective=high-level, Evaluation Protocol=LINEAR2025.12 | 88 | |
| Point-FEMAEFramework=Generative, #Params (M)=41.5 (1.43x), Local=true, Objective=low-level, Evaluation Protocol=MLP-32025.12 | 87.1 | |
| ReConFramework=Generative, #Params (M)=140.9 (4.85x), Local=true, Objective=low-level, Evaluation Protocol=LINEAR2025.12 | 86.9 | |
| Point-PQAEFramework=Generative, #Params (M)=29.5 (1.02x), Local=true, Objective=low-level, Evaluation Protocol=LINEAR2025.12 | 86.7 | |
| PCP-MAEFramework=Generative, #Params (M)=29.5 (1.02x), Local=true, Objective=low-level, Evaluation Protocol=LINEAR2025.12 | 86.5 | |
| Point-M2AEMasked Centers Leakage=true, Single/Cross-Modal=Single, Pre-trained Model Needed=false, # Params=15.3, GFLOPS=3.2, Time (h)=19.12024.08 | 86.43 | |
| Point-FEMAEFramework=Generative, #Params (M)=41.5 (1.43x), Local=true, Objective=low-level, Evaluation Protocol=LINEAR2025.12 | 86.3 | |
| Point-MAEMasked Centers Leakage=true, Single/Cross-Modal=Single, Pre-trained Model Needed=false, # Params=29.0, GFLOPS=2.0, Time (h)=8.72024.08 | 85.18 | |
| Spike-driven PointFormer-L + SVLArchitecture=SNN, Input=Point, Param (M)=22.1, Energy (mJ)=9.8, T × D=1 × 42025.05 | 83.4 | |
| E-3DSNN-L + SVLArchitecture=SNN, Input=Voxel, Param (M)=17.7, Energy (mJ)=0.31, T × D=1 × 42025.05 | 83 | |
| Point-MAEFramework=Generative, #Params (M)=29.0 (baseline), Local=true, Objective=low-level, Evaluation Protocol=MLP-32025.12 | 82.3 | |
| Spike-driven PointFormer-SArchitecture=SNN, Input=Point, Param (M)=7.69, Energy (mJ)=5.1, T × D=1 × 42025.05 | 82.1 | |
| CrossPointFramework=Contrastive, #Params (M)=27.7 (0.96x), Local=false, Objective=high-level, Evaluation Protocol=LINEAR2025.12 | 81.7 | |
| Spike-driven PointFormer-LArchitecture=SNN, Input=Point, Param (M)=22.1, Energy (mJ)=9.4, T × D=1 × 42025.05 | 81.7 | |
| PointformerArchitecture=ANN, Input=Point, Param (M)=4.91, Energy (mJ)=30.12025.05 | 81.3 | |
| P2SResLNetArchitecture=SNN, Input=Point, Param (M)=14.3, T × D=4 × 12025.05 | 81.2 | |
| E-3DSNN-S + SVLArchitecture=SNN, Input=Voxel, Param (M)=3.27, Energy (mJ)=0.02, T × D=1 × 42025.05 | 80.9 | |
| E-3DSNN-LArchitecture=SNN, Input=Voxel, Param (M)=17.7, Energy (mJ)=0.26, T × D=1 × 42025.05 | 80.2 | |
| Spike Point TransFormerArchitecture=SNN, Input=Point, Param (M)=9.6, Energy (mJ)=21.1, T × D=4 × 12025.05 | 80.1 | |
| Point-MAEFramework=Generative, #Params (M)=29.0 (baseline), Local=true, Objective=low-level, Evaluation Protocol=LINEAR2025.12 | 79.7 | |
| E-3DSNN-SArchitecture=SNN, Input=Voxel, Param (M)=3.27, Energy (mJ)=0.02, T × D=1 × 42025.05 | 78.7 | |
| Spike PointNet + SVLArchitecture=SNN, Input=Point, Param (M)=3.47, Energy (mJ)=0.27, T × D=1 × 42025.05 | 76.1 | |
| PointNet + ULIPArchitecture=ANN, Input=Point, Param (M)=3.47, Energy (mJ)=2.342025.05 | 72.1 | |
| Spike PointNetArchitecture=SNN, Input=Point, Param (M)=3.47, Energy (mJ)=0.24, T × D=1 × 42025.05 | 70 | |
| PointNetArchitecture=ANN, Input=Point, Param (M)=3.27, Energy (mJ)=2.022025.05 | 68.2 | |
| SpikingPointNetArchitecture=SNN, Input=Point, Param (M)=3.47, Energy (mJ)=0.91, T × D=16 × 12025.05 | 66.6 |