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Monocular Depth Estimation on KITTI 50m cap Eigen split (test)

0.106Absolute Relative Error3D-PL
0.100480.137740.1750.21226Sep 19, 2022Dec 30, 2022Apr 12, 2023Jul 24, 2023Nov 3, 2023Feb 14, 2024May 27, 2024

Evaluation results

MethodLinks
3D-PLCap=50m, Stereo supervision during training=true2022.090.1060.6413.6430.18987.295.898.2
SharinGANCap=50m, Stereo supervision during training=true2022.090.1090.6733.770.1986.495.498.1
DESCCap=50m, Stereo supervision during training=true2022.090.1160.7253.880.20685.594.897.6
GASDACap=50m, Stereo supervision during training=true2022.090.1430.7563.8460.21783.694.697.6
Synthetic + StereoCap=50m, Stereo supervision during training=true2022.090.1450.9094.2040.2248093.497.5
T2 NetCap=50m, Stereo supervision during training=true2022.090.1480.8284.1230.21981.593.897.5
All realSupervised=false, Training Dataset=KITTI, Domain Adaptation=false2022.090.1510.8564.0430.22782.49497.3
All realDataset=K2024.050.1510.8564.0430.22782.49497.3
SemiSupMDEDataset=K+S(DA)2024.050.1611.0284.4490.23778.591.896.8
3D-PLSupervised=false, Training Dataset=KITTI + virtual-KITTI, Domain Adaptation=true2022.090.1621.0494.4630.23977.691.696.8
Yen et al.Dataset=K+S(DA)2024.050.1621.0494.4630.23977.691.696.8
T2NetSupervised=false, Training Dataset=KITTI + virtual-KITTI, Domain Adaptation=true2022.090.1681.1994.6740.24377.291.296.6
Zheng et al.Dataset=K+S(DA)2024.050.1681.1994.6740.24377.291.296.6
Garg et al.Supervised=false, Training Dataset=KITTI, Domain Adaptation=false2022.090.1691.085.1040.2737490.496.2
Garg et al.Dataset=K2024.050.1691.085.1040.2737490.496.2
AdaDepthSupervised=false, Training Dataset=KITTI + virtual-KITTI, Domain Adaptation=true2022.090.2031.7346.2510.28468.789.995.8
Kundu et al.Dataset=K+S(DA)2024.050.2031.7346.2510.28468.789.995.8
All syntheticSupervised=false, Training Dataset=virtual-KITTI, Domain Adaptation=false2022.090.2441.7715.3540.31364.786.694.3
All syntheticDataset=S2024.050.2441.7715.3540.31364.786.694.3