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3D Semantic Segmentation on ScanNet v1 (test)

97.8mAccPointNet++
-3.91222.49448.975.306Feb 13, 2018Mar 16, 2018Apr 17, 2018May 18, 2018Jun 19, 2018Jul 20, 2018Aug 21, 2018

Evaluation results

MethodLinks
PointNet++Class=Floor2018.0897.8———————————————————————
FCPNClass=Floor2018.0896.3———————————————————————
ScanNetClass=Floor2018.0890.3———————————————————————
ScanCompleteClass=Floor2018.0890.2———————————————————————
PointNet++Class=Wall2018.0889.5———————————————————————
ScanCompleteClass=Wall2018.0888.8———————————————————————
FCPNClass=Wall2018.0887.7———————————————————————
FCPNClass=Toilet2018.0886.7———————————————————————
PointNet++Class=Bathtub2018.0886.1———————————————————————
PointNet++Class=Chair2018.0886———————————————————————
PointNet++Class=Shower Curtain2018.0885———————————————————————
PointNet++Class=Toilet2018.0884.8———————————————————————
PointNet++Class=Bookshelf2018.0884.3———————————————————————
FCPNClass=Chair2018.0881.6———————————————————————
FCPNClass=Bookshelf2018.0881———————————————————————
PointNet++Class=Bed2018.0880.7———————————————————————
FCPNClass=Bathtub2018.0879.1———————————————————————
FCPNClass=Sofa2018.0876———————————————————————
ScanNetClass=Sofa2018.0875.7———————————————————————
ScanNetClass=Bathtub2018.0874.3———————————————————————
ScanCompleteClass=Sofa2018.0872.5———————————————————————
ScanNetClass=Wall2018.0870.1———————————————————————
ScanNetClass=Toilet2018.0869.9———————————————————————
ScanNetClass=Chair2018.0869.3———————————————————————
ScanNetClass=Table2018.0868.4———————————————————————
PointNet++Class=Sofa2018.0868.3———————————————————————
FCPNClass=Table2018.0867.6———————————————————————
PointNet++Class=Desk2018.0866.7———————————————————————
ScanNetClass=Refrigerator2018.0866.4———————————————————————
FCPNClass=Bed2018.0865.9———————————————————————
ScanNetClass=Bookshelf2018.0864.6———————————————————————
PointNet++Class=Sink2018.0862.8———————————————————————
ScanNetClass=Bed2018.0862.4———————————————————————
ScanCompleteClass=Chair2018.0860.3———————————————————————
PointNet++2018.0860.2—————————————————————84.5—
PointNet++Class=Table2018.0859.6———————————————————————
FCPNClass=Desk2018.0858.5———————————————————————
PointNet++Class=Refrigerator2018.0854.7———————————————————————
FCPN2018.0854.2—————————————————————82.6—
FCPNClass=Sink2018.0853.5———————————————————————
ScanCompleteClass=Bed2018.0852.8———————————————————————
FCPNClass=Cabinet2018.0852.1———————————————————————
ScanNet2018.0850.8—————————————————————73—
FCPNClass=Refrigerator2018.0850.5———————————————————————
ScanNetClass=Cabinet2018.0849.8———————————————————————
ScanNetClass=Door2018.0848.9———————————————————————
PointNet++Class=Curtain2018.0848.7———————————————————————
RSNetinput=xyz2018.0248.3739.3579.2394.164.9951.0434.5355.9553.0255.4134.8449.3854.166.7822.7238.7529.9237.90.9531.2918.98——
FCPNClass=Shower Curtain2018.0848———————————————————————
ScanNetClass=Shower Curtain2018.0846.8———————————————————————
PointNet++input=xyz, scale=single-scale2018.0243.7734.2677.4892.564.5546.612.6951.3252.9352.2730.2342.7231.3732.9720.042.023.5627.4318.51023.812.2——
PointNet++Class=Cabinet2018.0839.8———————————————————————
ScanNetClass=Sink2018.0839.4———————————————————————
PointNet++Class=Counter2018.0837.6———————————————————————
ScanNetClass=Desk2018.0836.8———————————————————————
ScanCompleteClass=Window2018.0836.1———————————————————————
ScanNetClass=Counter2018.0832.1———————————————————————
FCPNClass=Counter2018.0831.6———————————————————————
PointNet++Class=Other Furniture2018.0830.7———————————————————————
FCPNClass=Other Furniture2018.0830.2———————————————————————
PointNet++Class=Door2018.0827.5———————————————————————
PointNet++Class=Window2018.0823.7———————————————————————
ScanNetClass=Window2018.0820.1———————————————————————
PointNetinput=xyz2018.0219.914.6969.4488.5935.9332.782.6317.963.1832.7900.17005.09000004.990.13——
ScanNetClass=Other Furniture2018.0819.5———————————————————————
FCPNClass=Door2018.0816.6———————————————————————
FCPNClass=Window2018.0812.5———————————————————————
ScanNetClass=Curtain2018.087———————————————————————
FCPNClass=Curtain2018.086.1———————————————————————
ScanNetClass=Picture2018.083.4———————————————————————
FCPNClass=Picture2018.081.8———————————————————————
PointNet++Class=Picture2018.080———————————————————————
BA-GEMmodality=3D (point), considers boundaries=true2022.03—63.5——————————————————————
ConvNetmodality=3D (point)2022.03—69.1——————————————————————
ConvNet + CBLmodality=3D (point)2022.03—70.5——————————————————————
DCM-Netmodality=3D + Mesh2022.03—65.8——————————————————————
FusionNetmodality=3D (point)2022.03—68.8——————————————————————
JSENetmodality=3D (point), considers boundaries=true2022.03—69.9——————————————————————
KP-Convmodality=3D (point)2022.03—68.4——————————————————————
MinkowskiNetmodality=3D (voxel)2022.03—73.6——————————————————————
Mix3Dmodality=3D (voxel)2022.03—78.1——————————————————————
O-CNNmodality=3D (voxel)2022.03—76.2——————————————————————
OccuSegmodality=3D (voxel)2022.03—76.4——————————————————————
PointASNLmodality=3D (point)2022.03—66.6——————————————————————
PointCNNInput Features=3D coordinates and color values2019.09—45.870.994.471.545.632.861.135.654.548.457.775.537.629.931.947.5—21.616.432.128.5—22.9
PointConvInput Features=3D coordinates and color values2019.09—55.676.294.473.950.541.86457.463.95463.682.743.34344.551.5—46.418.547.237.2—57.5
PointConvmodality=3D (point)2022.03—66.6——————————————————————
PointNet++Input Features=3D coordinates and color values2019.09—33.952.367.73623.227.847.845.834.636.458.454.824.72526.125.2—21.211.725.618.3—14.5
RFCRmodality=3D (point)2022.03—70.2——————————————————————
ScanNetInput Features=3D coordinates and color values2019.09—30.643.778.652.43034.236.650.134.831.820.3460.221.118.918.2—24.510.231.114.5—15.2
SparseConvNetInput Features=3D coordinates and color values2019.09—72.586.595.586.962.860.382.184.682.372.464.793.475.453.361.468.3—7132.572.157.2—87
SparseConvNetmodality=3D (voxel)2022.03—72.5——————————————————————
SPH3D-GCNInput Features=3D coordinates and color values2019.09—6177.393.579.254.95777.248.970.560.285.885.964.340.450.753.4—514.653.241.4—70.2
SPLATNET3DInput Features=3D coordinates and color values2019.09—39.369.992.765.638.332.851.160.65127.147.259.340.524.519.726.7—0.1031.122.7—24.9
SSC-UNetInput Features=3D coordinates and color values2019.09—30.868.590.855.334.514.72927.836.335.435.354.628.616.914.827.8—2.36.416.618.2—1.8
Tangent-ConvInput Features=3D coordinates and color values2019.09—43.863.391.864.542.728.264.647.456.248.743.761.925.835.327.935.2—28.314.736.929.8—29.4
VMNetmodality=3D + Mesh2022.03—74.6——————————————————————