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Monocular Depth Estimation on VOID (test)

78.2Accuracy Threshold (< 1.25)DPT
5.60824.45443.362.146Oct 3, 2024

Evaluation results

MethodLinks
DPTScaling=Median, Training Dataset=VOID2024.1078.296.2990.150.0640.34
RSABackbone=DPT, Training Dataset=NYUv2, KITTI, zero-shot=true2024.1060.188.6970.2540.0960.444
RSABackbone=DPT, Training Dataset=NYUv2, KITTI, VOID2024.1059.887.795.60.2480.10.475
RSABackbone=MiDas, Training Dataset=NYUv2, KITTI, VOID2024.1053.582.994.50.280.1120.528
DPTScaling=Image, Training Dataset=NYUv2, KITTI, VOID2024.1053.482.794.10.2660.1080.545
DPTScaling=Image, Training Dataset=NYUv2, KITTI, zero-shot=true2024.1051.681.293.60.2890.1120.634
MiDasScaling=Median, Training Dataset=VOID2024.105078.189.90.3470.130.829
DPTScaling=Global, Training Dataset=NYUv2, zero-shot=true2024.1045.674.391.20.3120.1360.896
RSABackbone=MiDas, Training Dataset=NYUv2, KITTI, zero-shot=true2024.1039.269.689.20.4480.1480.66
MiDasScaling=Image, Training Dataset=NYUv2, KITTI, VOID2024.1038.974.391.10.3920.1390.652
RSABackbone=DepthAnything, Training Dataset=NYUv2, KITTI, VOID2024.1037.467.383.70.4770.1680.792
DepthAnythingScaling=Image, Training Dataset=NYUv2, KITTI, VOID2024.1032.361.276.80.5890.1960.956
MiDasScaling=Image, Training Dataset=NYUv2, KITTI, zero-shot=true2024.1030.462.681.20.4870.1590.913
MiDasScaling=Global, Training Dataset=NYUv2, zero-shot=true2024.1026.859.773.50.5120.1931.346
DepthAnythingScaling=Median, Training Dataset=VOID2024.1024.946.564.30.6820.2541.251
RSABackbone=DepthAnything, Training Dataset=NYUv2, KITTI, zero-shot=true2024.1010.426.2451.2870.3231.716
DepthAnythingScaling=Image, Training Dataset=NYUv2, KITTI, zero-shot=true2024.109.321.541.21.4970.3451.963
DepthAnythingScaling=Global, Training Dataset=NYUv2, zero-shot=true2024.108.419.437.61.6740.3892.046