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ResearchFormerly WizWand

3D classification on ScanObjectNN Scan-O (test)

85.3AccuracyKPConv
65.85270.90175.9580.999May 23, 2025
Updated 5mo ago

Evaluation results

MethodLinks
KPConvArchitecture=ANN, Input=Point, Param (M)=14.3, T x D=N/A2025.0585.3
Spike-driven PointFormerArchitecture=SNN, Input=Point, Param (M)=7.69, Energy (mJ)=5.1, T x D=1 × 42025.0582.1
Spike-driven PointFormerArchitecture=SNN, Input=Point, Param (M)=22.1, Energy (mJ)=9.4, T x D=1 × 42025.0581.7
PointformerArchitecture=ANN, Input=Point, Param (M)=4.91, Energy (mJ)=30.1, T x D=N/A2025.0581.3
P2SResLNetArchitecture=SNN, Input=Point, Param (M)=14.3, T x D=4 × 12025.0581.2
E-3DSNN-LArchitecture=SNN, Input=Voxel, Param (M)=17.7, Energy (mJ)=0.26, T x D=1 × 42025.0580.2
Spike Point TransFormerArchitecture=ANN, Input=Point, Param (M)=9.6, Energy (mJ)=21.1, T x D=4 × 12025.0580.1
E-3DANN-SArchitecture=ANN, Input=Voxel, Param (M)=3.27, Energy (mJ)=0.13, T x D=1 × 42025.0579.7
E-3DSNN-SArchitecture=SNN, Input=Voxel, Param (M)=3.27, Energy (mJ)=0.02, T x D=1 × 42025.0578.7
Spike PointNetArchitecture=SNN, Input=Point, Param (M)=3.47, Energy (mJ)=0.24, T x D=1 × 42025.0570
PointNetArchitecture=ANN, Input=Point, Param (M)=3.27, Energy (mJ)=2.02, T x D=N/A2025.0568.2
SpikingPointNetArchitecture=SNN, Input=Point, Param (M)=3.47, Energy (mJ)=0.91, T x D=16 × 12025.0566.6