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3D Shape Retrieval on ModelNet-40

92.9mAPMVTN
30.874446.977263.0879.1828Nov 26, 2020Jan 18, 2021Mar 13, 2021May 6, 2021Jun 29, 2021Aug 22, 2021Oct 15, 2021

Evaluation results

MethodLinks
MVTNNumber of Views=12 Views2020.1192.9
MLVCNNNumber of Views=24 Views2020.1192.2
PVNetData Type=Points2020.1189.5
DensepointData Type=Points2020.1188.5
PANORAMA-ENNRep.=2D Projection2021.1086.34
SPNet_VERep.=2D Projection2021.1085.21
PolyNet (PTQ, √3), (d=2)Rep.=Polygon Mesh, Subsampling=PTQ, √3, Polynomial Degree=22021.1082.86
PolyNet (√3), (d=2)Rep.=Polygon Mesh, Subsampling=√3, Polynomial Degree=22021.1082.36
PolyNet (PTQ), (d=2)Rep.=Polygon Mesh, Subsampling=PTQ, Polynomial Degree=22021.1081.91
MeshNetRep.=Polygon Mesh2021.1081.9
MVCNNNumber of Views=12 Views2020.1180.2
MVCNNRep.=2D Projection2021.1079.5
DeepPanoRep.=2D Projection2021.1076.81
Geometry ImageRep.=Polygon Mesh2021.1051.3
3D ShapeNetsRep.=voxel grid2021.1049.23
3D ShapeNetsData Type=Voxels2020.1149.2
LFDData Type=Voxels2020.1140.9
SPHRep.=Polygon Mesh2021.1033.26