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3D Semantic Segmentation on A2D2 to SemanticKITTI (target)

73.6mIoUOracle
32.62443.26253.964.538Jan 18, 2021

Evaluation results

MethodLinks
OracleNetwork Stream=2D+3D2021.0173.6——————
OracleNetwork Stream=3D2021.0171.9——————
OracleNetwork Stream=2D2021.0159.3——————
xMUDAPLNetwork Stream=3D2021.0149.8——————
xMUDAPLNetwork Stream=2D+3D2021.0147.5——————
xMUDANetwork Stream=3D2021.0146——————
PLNetwork Stream=2D+3D2021.0145.2——————
xMUDANetwork Stream=2D+3D2021.0144——————
MinEntNetwork Stream=2D+3D2021.0142.6——————
Deep logCORALNetwork Stream=2D+3D2021.0142.2——————
PLNetwork Stream=3D2021.0141.7——————
xMUDAPLNetwork Stream=2D2021.0141.2——————
Deep logCORALNetwork Stream=3D2021.0141.1——————
Baseline (src only)Network Stream=2D+3D2021.0140.4——————
MinEntNetwork Stream=3D2021.0139.6——————
xMUDANetwork Stream=2D2021.0138.3——————
MinEntNetwork Stream=2D2021.0137.8——————
FDANetwork Stream=2D, Batch Size=62021.0137.6——————
Baseline (src only)Network Stream=3D2021.0135.9——————
Deep logCORALNetwork Stream=2D2021.0135.1——————
PLNetwork Stream=2D2021.0134.7——————
Baseline (src only)Network Stream=2D2021.0134.2——————
Baseline (lab. trg only)Train set=Te2021.01————51.357.759.2
Baseline (src and lab. trg)Train set=S + Te2021.01————54.862.466.2
Baseline (src only)Train set=S2021.01————37.932.843.3
Deep logCORALTrain set=S + Te + Tu, Note=2D network trained with batch size 6 instead of 82021.01————55.162.264.7
MinEntTrain set=S + Te + Tu2021.01————56.362.565
MM-TTA (Hard Select)Adaptation=TTA, Reference=Eq.(11)2022.04—43.342.447———
MM-TTA (Soft Select)Adaptation=TTA, Reference=Eq.(12)2022.04—43.742.547.1———
PLTrain set=S + Te + Tu2021.01————57.266.968.5
Source-onlyAdaptation=None2022.04—37.435.341.5———
TENTAdaptation=TTA, Reference=Eq.(2)2022.04—39.236.640.8———
TENT EnsAdaptation=TTA, Reference=Eq.(2)2022.04—39.636.641.1———
xMoSSDATrain set=S + Te + Tu2021.01————56.563.465.9
xMoSSDAPLTrain set=S + Te + Tu2021.01————59.168.270.7
xMUDAAdaptation=UDA2022.04—36.843.342.9———
xMUDAAdaptation=TTA, Reference=Eq.(3)2022.04—37.53840.2———
xMUDATrain set=S + Tu2021.01————38.644.544.4
xMUDA_PLAdaptation=TTA, Reference=Eq.(3),(5)2022.04—36.539.542.9———
xMUDA_PL offlineAdaptation=UDA2022.04—43.748.549.1———
xMUDA_PL+TENT EnsAdaptation=TTA, Reference=Eq.(2),(3),(5)2022.04—374043———
xMUDA+TENTAdaptation=TTA, Reference=Eq.(2),(3)2022.04—38.137.540.5———
xMUDA+TENT EnsAdaptation=TTA, Reference=Eq.(2),(3)2022.04—37.53840.2———
xMUDAPLTrain set=S + Tu2021.01————41.449.548.6