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3D Semantic Segmentation on S3DIS Area 5 (test)

72.2mIoU (%)Contrastive Scene Contexts
0.23218.91637.656.284Dec 16, 2020Jul 3, 2021Jan 19, 2022Aug 7, 2022Feb 22, 2023Sep 10, 2023Mar 28, 2024

Evaluation results

MethodLinks
Contrastive Scene Contexts2020.1272.2—95.198.486.340.760.885.281.991.878.9—82.862.4073.9
StratifiedFormerType=p, Params.=18.8M, Training strategy=Expert2024.037278.1——————————————
PointMixerParam.=6.5M2021.1171.477.494.298.28643.862.178.590.682.273.979.878.559.4——
PointNeXtType=p, Params.=41.6M, Training strategy=Expert2024.0370.577.2——————————————
PointTransformerNeighbor Search Preparation=O(1), Neighbor Search Inference=O(MN log K), Large-scale Inference=Multi-shot, Latency (Seconds)=18.07, Latency (Normalized)=129.072021.1270.476.5——————————————
PointTransParam.=7.8M2021.1170.476.59498.586.33863.474.389.182.474.380.27659.3——
PointTransformerType=p, Params.=11.4M, Training strategy=Expert2024.0370.476.5——————————————
FastPoint TransParam.=37.9M2021.1170.377.994.2988653.861.277.381.389.460.172.880.458.9——
PointContrast2020.1270.3—93.398.785.645.954.467.980.191.678.2—81.562.31074.7
FastPointTransformerVoxel size=4cm, Neighbor Search Preparation=O(N), Neighbor Search Inference=O(M), Large-scale Inference=Multi-shot, Latency (Seconds)=1.13, Latency (Normalized)=8.07, Rotation average=true2021.1270.177.3——————————————
GeoAuxNetType=p->v, Params.=64.7M, Training strategy=Joint2024.0369.574.5——————————————
FastPointTransformerVoxel size=4cm, Neighbor Search Preparation=O(N), Neighbor Search Inference=O(M), Large-scale Inference=Single-shot, Latency (Seconds)=0.14, Latency (Normalized)=1.00, Rotation average=false2021.1268.576.5——————————————
MinkowskiNet42Voxel size=4cm, Neighbor Search Preparation=O(N), Neighbor Search Inference=O(M), Large-scale Inference=Multi-shot, Latency (Seconds)=0.66, Latency (Normalized)=4.71, Rotation average=true2021.1268.475——————————————
Scratch2020.1268.2—91.598.684.13356.963.981.790.176.5—77.959.6072.5
PPT†Type=v, Params.=63.0M, Training strategy=Joint, Notes=Decoupled projection heads2024.0367.973.2——————————————
KPConv deformNeighbor Search Preparation=O(N log N), Neighbor Search Inference=O(KM log N), Large-scale Inference=Multi-shot, Latency (Seconds)=105.15, Latency (Normalized)=751.072021.1267.172.8——————————————
MinkowskiNet42Voxel size=4cm, Neighbor Search Preparation=O(N), Neighbor Search Inference=O(M), Large-scale Inference=Single-shot, Latency (Seconds)=0.08, Latency (Normalized)=0.57, Rotation average=false2021.1267.174.4——————————————
KPConv deformParam.=-2021.1167.172.892.897.382.423.9586981.59175.475.366.758.9——
PAConvNeighbor Search Preparation=O(1), Neighbor Search Inference=O(MN log K), Large-scale Inference=Crop-and-stitch, Latency (Seconds)=28.13, Latency (Normalized)=200.932021.1266.673——————————————
PAConvParam.=-2021.1166.67394.698.682.426.4586080.489.769.874.373.557.7——
MinkowskiNet32Voxel size=5cm, Neighbor Search Preparation=O(N), Neighbor Search Inference=O(M), Large-scale Inference=Single-shot, Latency (Seconds)=0.08, Latency (Normalized)=0.572021.1265.471.7——————————————
MinkowskiNetParam.=37.9M2021.1165.471.791.898.786.234.148.962.481.689.847.274.974.458.6——
PointWebNeighbor Search Preparation=O(1), Neighbor Search Inference=O(MNK), Large-scale Inference=Crop-and-stitch, Latency (Seconds)=11.62, Latency (Normalized)=83.002021.1260.366.6——————————————
SPVCNNType=p+v, Params.=61.0M, Training strategy=Joint2024.0358.662.3——————————————
SPGraphNeighbor Search Preparation=X, Neighbor Search Inference=X, Large-scale Inference=Crop-and-stitch, Latency (Seconds)=18.28, Latency (Normalized)=130.572021.125866.5——————————————
LocoTransInput=pc, Rotation Protocol=SO(3)/SO(3)2024.035684.7——————————————
LocoTransInput=pc, Rotation Protocol=z/SO(3)2024.0354.284.8——————————————
DGCNNInput=pc, Rotation Protocol=SO(3)/SO(3)2024.0342.880.7——————————————
PointNetNeighbor Search Preparation=X, Neighbor Search Inference=X, Large-scale Inference=Crop-and-stitch, Latency (Seconds)=18.16, Latency (Normalized)=129.712021.1241.149——————————————
PPTType=v, Params.=63.0M, Training strategy=Joint2024.0330.434.6——————————————
MinkowskiNetType=v, Params.=60.9M, Training strategy=Joint2024.0318.821.3——————————————
DGCNNInput=pc, Rotation Protocol=z/SO(3)2024.03318.1——————————————