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LiDAR-based Panoptic Segmentation on SemanticKITTI 1.0 (test)

64.2PQP-RangeFormer
36.01643.33350.6557.967Mar 14, 2022May 13, 2022Jul 12, 2022Sep 10, 2022Nov 9, 2022Jan 8, 2023Mar 9, 2023

Evaluation results

MethodLinks
P-RangeFormerSTR=false2023.0364.269.575.983.863.67386.864.678.181.772
P-RangeFormerSTR=true, Wtrain=3842023.0361.867.673.883.160.369.686.362.976.880.871
P-PHNetSTR=false2023.0361.567.972.184.863.870.490.759.973.380.566
EfficientLPSSTR=false2023.0357.463.268.78353.160.587.860.574.679.561.4
DS-Net2022.0355.962.566.782.355.162.887.256.569.578.761.6
DS-NetSTR=false2023.0355.962.566.782.355.162.887.256.569.578.761.6
Panoptic-PolarNet2022.0354.160.76581.453.360.687.254.868.177.259.5
P-PolarNetSTR=false2023.0354.160.76581.453.360.687.254.868.177.259.5
MaskRangeSTR=false2023.0353.159.264.681.244.95383.559.173.179.561.8
PanosterK2022.0352.759.964.180.749.458.583.355.168.278.859.9
PanosterSTR=false2023.0352.759.964.180.749.458.583.355.168.278.859.9
4D-PLS2022.0350.357.86181.6——————61.3
KPConv + PV-RCNNSegmentation Backbone=KPConv, Instance Head=PV-RCNN2022.0350.257.561.48043.251.480.255.968.779.962.8
KPConv + PointPillarsSegmentation Backbone=KPConv, Instance Head=PointPillars2022.0344.552.554.48032.738.781.553.165.97958.8
KPConv + PointPillarsSTR=false2023.0344.552.554.48032.738.781.553.165.97958.8
LPASD2022.03384748.276.525.631.876.847.160.176.250.9
RangeNet++ + PointPillarsSegmentation Backbone=RangeNet++, Instance Head=PointPillars2022.0337.145.94775.920.225.275.249.362.876.552.4
RangeNet++ + PointPillarsSTR=false2023.0337.145.94775.920.225.275.249.362.876.552.4