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LiDAR Semantic Segmentation on SemanticKITTI sequences 11 to 21 (test)

94.2Car IoURandLa-Net
44.38457.31770.2583.183Mar 7, 2020Mar 11, 2020Mar 16, 2020Mar 20, 2020Mar 25, 2020Mar 29, 2020Apr 3, 2020

Evaluation results

MethodLinks
RandLa-NetApproach Type=Point-wise, Input Size=50k pts2020.0394.22625.840.138.949.248.27.290.760.373.738.986.956.381.461.366.849.247.753.9—
RLNetProcessing=PointNet-based2020.049419.821.442.738.747.548.84.690.456.967.915.581.149.778.360.35944.238.150.322
LatticeNetApproach Type=Point-wise, Input Size=50k pts2020.0392.916.622.226.621.435.643469059.474.12288.258.881.763.663.151.948.452.9—
SSGV3-53Backbone=SqueezeSegV3-53, Processing=Projection-based, KNN post-processing=true2020.0492.538.736.529.63345.646.220.191.763.474.826.48959.48258.765.449.658.955.96
SqueezeSegV3Approach Type=Projection-based, Input Size=64x2048 pixels2020.0392.538.736.529.63345.646.220.191.763.474.826.48959.48258.765.449.658.955.9—
SalsaNextApproach Type=Projection-based, Input Size=64x2048 pixels2020.0391.948.338.638.931.960.25919.491.763.775.829.190.264.281.863.666.554.362.159.5—
RGN53Backbone=RangeNet53, Processing=Projection-based, KNN post-processing=true2020.0491.425.734.425.72338.338.84.891.86575.227.887.458.680.555.164.647.955.952.211
RangeNet53++Approach Type=Projection-based, Input Size=64x2048 pixels2020.0391.425.734.425.72338.338.84.891.86575.227.887.458.680.555.164.647.955.952.2—
3D-MiniNetApproach Type=Projection-based, Input Size=64x2048 pixels2020.0390.542.342.128.529.447.844.114.591.664.274.525.489.460.882.860.866.74856.655.8—
SSGV3-21Backbone=SqueezeSegV3-21, Processing=Projection-based, KNN post-processing=true2020.0489.433.734.911.321.542.644.921.290.854.173.323.284.853.680.253.364.546.457.651.615
SalsaNetApproach Type=Projection-based, Input Size=64x2048 pixels2020.0387.526.224.62417.533.231.18.489.751.770.719.782.848734061.731.341.945.4—
SSGV3-53Backbone=SqueezeSegV3-53, Processing=Projection-based2020.0487.435.233.72931.941.839.120.191.863.574.427.285.355.879.452.164.738.653.452.97
TgConvProcessing=PointNet-based2020.0486.81.312.711.610.217.120.20.582.915.261.7982.844.275.542.555.530.222.235.90.3
TangentConvApproach Type=Point-wise, Input Size=50k pts2020.0386.81.312.711.610.217.120.20.582.915.261.7982.844.275.542.555.530.222.235.9—
RGN53Backbone=RangeNet53, Processing=Projection-based2020.0486.424.532.725.522.636.233.64.791.864.874.627.984.15578.350.16438.952.249.912
RangeNet53Approach Type=Projection-based, Input Size=64x2048 pixels2020.0386.424.532.725.522.636.233.64.791.864.874.627.984.15578.350.16438.952.249.9—
RGN21Backbone=RangeNet21, Processing=Projection-based2020.0485.426.226.518.615.631.833.6491.4577426.481.952.377.648.463.6365047.420
RangeNet21Approach Type=Projection-based, Input Size=64x2048 pixels2020.0385.426.226.518.615.631.833.6491.4577426.481.952.377.648.463.6365047.4—
SSGV3-21Backbone=SqueezeSegV3-21, Processing=Projection-based2020.0484.631.532.411.320.939.436.121.390.854.172.923.981.150.377.647.763.936.151.748.816
SSGV2Processing=Projection-based, CRF post-processing=true2020.0482.72122.614.515.920.224.32.988.542.465.518.773.84168.536.958.912.94139.639
SqueezeSegV2-CRFApproach Type=Projection-based, Input Size=64x2048 pixels2020.0382.72122.614.515.920.224.32.988.542.465.518.773.84168.536.958.912.94139.6—
SSGV2Processing=Projection-based, CRF post-processing=false2020.0481.818.517.913.41420.125.13.988.645.867.617.773.741.171.835.860.220.236.339.750
SqueezeSegV2Approach Type=Projection-based, Input Size=64x2048 pixels2020.0381.818.517.913.41420.125.13.988.645.867.617.773.741.171.835.860.220.236.339.7—
SSGProcessing=Projection-based, CRF post-processing=false2020.0468.8164.13.33.612.913.10.985.426.954.34.557.4296024.353.717.524.529.565
SqueezeSegApproach Type=Projection-based, Input Size=64x2048 pixels2020.0368.8164.13.33.612.913.10.985.426.954.34.557.4296024.353.717.524.529.5—
SPGraphProcessing=PointNet-based2020.0468.30.94.50.90.816049.51.724.20.368.222.559.227.21718.310.5200.2
SSGProcessing=Projection-based, CRF post-processing=true2020.0468.318.15.14.14.816.517.31.284.928.454.74.661.529.259.625.554.711.236.330.853
SPGraphApproach Type=Point-wise, Input Size=50k pts2020.0368.30.94.50.90.816049.51.724.20.368.222.559.227.21718.310.520—
SqueezeSeg-CRFApproach Type=Projection-based, Input Size=64x2048 pixels2020.0368.318.15.14.14.816.517.31.284.928.454.74.661.529.259.625.554.711.236.330.8—
SPLATProcessing=PointNet-based2020.0466.6000000070.40.841.5068.727.872.335.935.813.8022.81
SPLATNetApproach Type=Point-wise, Input Size=50k pts2020.0366.6000000070.40.841.5068.727.872.335.935.813.8022.8—
PNet++Processing=PointNet-based2020.0453.71.90.20.90.20.9107218.741.85.662.316.946.513.83068.920.10.1
Pointnet++Approach Type=Point-wise, Input Size=50k pts2020.0353.71.90.20.90.20.9107218.741.85.662.316.946.513.83068.920.1—
PNetProcessing=PointNet-based2020.0446.31.30.30.10.80.20.2061.615.835.71.441.412.9314.617.62.43.714.62
PointnetApproach Type=Point-wise, Input Size=50k pts2020.0346.31.30.30.10.80.20.2061.615.835.71.441.412.9314.617.62.43.714.6—