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Imbalanced Regression on NYUD2-DIR 1.0 (All)

1.305RMSEVIR
1.297881.345941.3941.44206Jun 11, 2023

Evaluation results

MethodLinks
VIRweighting=SQINV2023.061.3050.07572.292.998.5
LDS + FDSweighting=SQINV2023.061.3380.0870.591.697.9
LDSweighting=SQINV2023.061.3870.08667.290.797.6
LDS + FDS + DERweighting=SQINV2023.061.4260.09267.688.996.4
FDSweighting=SQINV2023.061.4420.08468.190.397.5
VANILLAweighting=SQINV2023.061.4770.08667.789.996.9
DEEP ENSEMBLEweighting=SQINV2023.061.4790.09167.890.697.2
INFER NOISEweighting=SQINV2023.061.480.08867.289.496.3
VAEweighting=SQINV2023.061.4830.08467.589.496.3
DERweighting=SQINV2023.061.4830.09859.78896.4