List your company

Semantic Segmentation on SemanticKITTI single-scan (test)

75.6mIoULSK3DNet
12.1628.6345.161.57Feb 25, 2020Oct 29, 2020Jul 4, 2021Mar 9, 2022Nov 12, 2022Jul 18, 2023Mar 22, 2024

Evaluation results

MethodLinks
LSK3DNetInput=PV, speed (ms/s)=892024.0375.692.278.970.241.892.797.36171.475.664.286.472.771.981.280.685.2726774.6
SphereFormerInput=P, speed (ms/s)=1232024.0374.891.878.269.741.393.897.559.670.170.567.786.775.172.47980.475.372.866.872.9
2DPASSImage training=yes, Supervision level=Fully-supervised2023.0972.9———————————————————
2DPASSInput=PV, speed (ms/s)=622024.0372.989.774.767.44093.59761.163.663.461.586.273.97177.981.374.172.96570.4
Point-Voxel KDImage training=no, Supervision level=Fully-supervised2023.0971.2———————————————————
PV-KDInput=V, speed (ms/s)=762024.0371.291.877.570.94192.49753.567.969.360.286.573.871.975.173.550.569.464.965.8
(AF)2-S3NetInput=V, speed (ms/s)=1582024.0370.89276.266.845.892.594.340.26381.44078.66863.176.481.777.769.66473.3
RPVNetInput=RPV, speed (ms/s)=1682024.0370.393.480.770.333.393.597.644.268.468.761.186.575.171.775.974.443.472.164.861.4
Cylinder3DInput=V, speed (ms/s)=1312024.0368.992.2776532.390.797.150.867.663.858.585.672.569.873.769.24866.562.466.2
Cylinder3DImage training=no, Supervision level=Fully-supervised2023.0967.8———————————————————
SPVNASInput=PV, speed (ms/s)=2592024.036790.275.467.621.891.697.256.650.650.45886.173.47167.467.150.366.964.367.3
SPVNASImage training=no, Supervision level=Fully-supervised2023.0966.4———————————————————
JS3C-NetImage training=no, Supervision level=Fully-supervised2023.0966———————————————————
JS3C-NetInput=V, speed (ms/s)=4712024.036688.972.161.931.992.595.854.359.352.94684.569.867.969.565.439.970.860.768.7
SalsaNextImage training=no, Supervision level=Fully-supervised2023.0959.5———————————————————
KPConvImage training=no, Supervision level=Fully-supervised2023.0958.8———————————————————
KPConvInput=P, speed (ms/s)=4712024.0358.890.372.761.331.590.59533.430.242.544.384.869.269.161.561.611.864.256.447.4
ImageTo360Image training=yes, Supervision level=1% labels2023.0957.7———————————————————
SCSSnetImage training=no, Supervision level=Fully-supervised2023.0957.6———————————————————
SqueezeSegV3Image training=no, Supervision level=Fully-supervised2023.0955.9———————————————————
RandLA-NetInput=P, speed (ms/s)=8802024.0355.990.57461.824.589.794.243.929.832.239.183.863.668.648.447.49.460.45150.7
SqueezeSegV3Input=R, speed (ms/s)=2382024.0355.991.774.863.426.48992.529.638.736.5338258.765.445.646.220.159.449.658.9
3D-MiniNet-KNNSize=64x2048 px, Frame-rate (FPS)=28, Params(M)=3.97, KNN post-processing=true2020.0255.891.674.564.225.489.490.528.542.342.129.482.860.866.747.844.114.560.84856.6
3D-MiniNetImage training=no, Supervision level=Fully-supervised2023.0955.8———————————————————
3D-MiniNet-small-KNNSize=64x2048 px, Frame-rate (FPS)=40, Params(M)=1.13, KNN post-processing=true2020.0254.491.572.761.824.687.188.125.639.33825.682.559.76547.246.222.456.145.854.9
PolarNetInput=R, speed (ms/s)=622024.0354.390.874.461.721.79093.822.940.330.128.58465.567.843.240.25.661.351.857.5
RandLA-NetFrame-rate (FPS)=22, Params(M)=1.24, KNN post-processing=false2020.0253.990.773.760.320.486.994.240.12625.838.981.461.366.849.248.27.256.349.247.7
3D-MiniNetSize=64x2048 px, Frame-rate (FPS)=36, Params(M)=3.97, KNN post-processing=false2020.025391.67464.125.985.885.228.337.939.328.880.354.565.943.840.314.45737.951.5
RangeNet53-KNNSize=64x2048 px, Frame-rate (FPS)=12, Params(M)=50, KNN post-processing=true2020.0252.291.875.26527.887.491.425.725.734.42380.555.164.638.338.84.858.647.955.9
RangeNet53++Image training=no, Supervision level=Fully-supervised2023.0952.2———————————————————
3D-MiniNet-smallSize=64x2048 px, Frame-rate (FPS)=61, Params(M)=1.13, KNN post-processing=false2020.0251.891.572.361.725.183.983.425.435.625.425.180.353.964.343.442.320.75336.450.3
RangeNet53Size=64x2048 px, Frame-rate (FPS)=13, Params(M)=50, KNN post-processing=false2020.0249.991.77465.128.282.985.325.822.733.622.277.35064.636.831.44.754.839.152.3
3D-MiniNet-tiny-KNNSize=64x2048 px, Frame-rate (FPS)=55, Params(M)=0.44, KNN post-processing=true2020.024990.77159.519.786.486.619.231.627.821.38055.461.438.135353.740.551
RangeNet21Size=64x2048 px, Frame-rate (FPS)=25, Params(M)=25, KNN post-processing=false2020.0247.491.4745726.481.985.418.626.226.515.677.648.463.631.833.6452.33650
3D-MiniNet-tinySize=64x2048 px, Frame-rate (FPS)=98, Params(M)=0.44, KNN post-processing=false2020.0246.990.770.759.42083.4821929.325.420.877.950.660.835.132.33.25132.746.7
TangentConvSize=64x2048 px, Frame-rate (FPS)=0.3, Params(M)=0.4, KNN post-processing=false2020.0240.983.963.933.415.483.490.815.22.716.512.179.549.358.12328.48.14935.828.5
TangentConvInput=R, speed (ms/s)=30002024.0340.983.963.933.415.483.490.815.22.716.512.179.549.358.12328.48.14935.828.5
SqueezeSegV2Size=64x2048 px, Frame-rate (FPS)=83, Params(M)=1, KNN post-processing=false2020.0239.788.667.645.817.773.781.813.418.517.91471.835.860.220.125.13.941.120.236.3
DBLiDARNetSize=64x2048 px, Params(M)=2.8, KNN post-processing=false2020.0237.685.859.38.7178.681.56.629.419.66.577.14658.123.720.12.439.632.639.1
SqueezeSegSize=64x2048 px, Frame-rate (FPS)=90, Params(M)=1, KNN post-processing=false2020.0229.585.454.326.94.557.468.83.3164.13.66024.353.712.913.10.92917.524.5
PointNet++Size=50K pts, Frame-rate (FPS)=0.1, Params(M)=6, KNN post-processing=false2020.0220.17241.818.75.662.353.70.91.90.20.246.513.8300.91016.968.9
PointNet++Input=P, speed (ms/s)=59002024.0320.17241.818.75.662.353.70.91.90.20.246.513.8300.91016.968.9
SPLATNetSize=50K pts, Frame-rate (FPS)=1, Params(M)=0.8, KNN post-processing=false2020.0218.464.639.10.4058.358.2000071.19.919.300023.15.60
SPGFrame-rate (FPS)=0.2, Params(M)=0.25, KNN post-processing=false2020.0217.44528.50.60.664.349.30.10.20.20.848.927.224.60.32.70.120.815.90.8
PointNetSize=50K pts, Frame-rate (FPS)=2, Params(M)=3, KNN post-processing=false2020.0214.661.635.715.81.441.446.30.11.30.30.8314.617.60.20.2012.92.43.7