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3D Semantic Segmentation on SynLiDAR -> semanticPOSS (test)

50.8mIoUDGT-ST
29.58435.09240.646.108Mar 27, 2024

Evaluation results

MethodLinks
DGT-STMech.=self-training2024.0350.855.170.746.174.230.136.344.1814.362.810.378.567.212.5
PMANMech.=adversarial training2024.0346.552.661.546.875.118.836.521.474.718.325.837.573.761.98.2
LaserMixMech.=self-training2024.0345.558.461.347.76921.939.530.96116.136.57.179.562.67.2
CoSMixMech.=self-training2024.0344.653.647.644.875.116.837.925.372.719.939.710.88056.56.3
PCANMech.=adversarial training2024.0344.448.662.137.57423.931.422.276.96.541.911.979.161.26.1
ADVENTMech.=adversarial training2024.0340.144.647.640.371.215.635.62268.410.625.910.476.752.31.8
CLANMech.=adversarial training2024.0339.543.946.641.37115.134.320.469.69.523.21275.151.31.2
MRNetMech.=adversarial training2024.0339.443.547.239.170.415.532.82266.113.224.211.276.8501.1
AdaptSegNetMech.=adversarial training2024.0339.343.948.23969.615.533.621.364.312.72511.67649.91
Source onlyMech.=None2024.0338.347.243.637.870.311.133.819.567.911.219.99.677.947.80
FADAMech.=adversarial training2024.0337.639.641.238.869.216.332.118.167.911.5221371.447.9-0.7
PolarMixMech.=self-training2024.0330.4—————————————-8.3