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3D Semantic Segmentation on nuScenes-Lidarseg USA to Singapore target (test)

79.6mIoUOracle
56.7262.6668.674.54Jan 18, 2021

Evaluation results

MethodLinks
OracleNetwork Stream=2D+3D2021.0179.6———
OracleNetwork Stream=3D2021.0176———
OracleNetwork Stream=2D2021.0175.4———
xMUDAPLNetwork Stream=2D+3D2021.0171.2———
PLNetwork Stream=2D+3D2021.0170.4———
Deep logCORALNetwork Stream=2D+3D2021.0169.4———
xMUDANetwork Stream=2D+3D2021.0169.4———
Baseline (src only)Network Stream=2D+3D2021.0168.2———
xMUDAPLNetwork Stream=2D2021.0167———
MinEntNetwork Stream=2D+3D2021.0166———
xMUDAPLNetwork Stream=3D2021.0165.4———
PLNetwork Stream=3D2021.0164.8———
Deep logCORALNetwork Stream=2D2021.0164.4———
xMUDANetwork Stream=2D2021.0164.4———
Deep logCORALNetwork Stream=3D2021.0163.2———
xMUDANetwork Stream=3D2021.0163.2———
Baseline (src only)Network Stream=3D2021.0162.8———
PLNetwork Stream=2D2021.0162———
MinEntNetwork Stream=3D2021.0161.5———
FDANetwork Stream=2D2021.0160.8———
Baseline (src only)Network Stream=2D2021.0158.4———
MinEntNetwork Stream=2D2021.0157.6———
Baseline (lab. trg only)Train set=Te2021.01—70.574.174.2
Baseline (src and lab. trg)Train set=S + Te2021.01—72.373.178.1
Baseline (src only)Train set=S2021.01—58.863.268.5
Deep logCORALTrain set=S + Te + Tu2021.01—71.773.178.2
MinEntTrain set=S + Te + Tu2021.01—72.673.376.6
PLTrain set=S + Te + Tu2021.01—73.674.479.3
xMoSSDATrain set=S + Te + Tu2021.01—74.374.178.5
xMoSSDAPLTrain set=S + Te + Tu2021.01—75.574.878.8
xMUDATrain set=S + Tu2021.01—63.164.267.8
xMUDAPLTrain set=S + Tu2021.01—66.265.170.1