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Monocular Depth Estimation on MVSEC outdoor night2 (test)

1.21MAERAM Net
0.97642.55324.135.7068Feb 18, 2021

Evaluation results

MethodLinks
RAM NetTraining Protocol=Synthetic to Real [S → R], Cutoff=10 m2021.021.21
I baselineTraining Protocol=Synthetic to Real [S → R], Cutoff=10 m2021.021.36
E2DepthCutoff=10 m2021.021.67
Zhu et al.Cutoff=10 m2021.022.19
RAM NetTraining Protocol=Synthetic to Real [S → R], Cutoff=20 m2021.022.31
RAM NetTraining Protocol=Synthetic only [S], Cutoff=10 m2021.022.41
I baselineTraining Protocol=Synthetic to Real [S → R], Cutoff=20 m2021.022.42
E2DepthCutoff=20 m2021.022.63
Zhu et al.Cutoff=20 m2021.023.15
RAM NetTraining Protocol=Synthetic only [S], Cutoff=20 m2021.023.24
RAM NetTraining Protocol=Synthetic to Real [S → R], Cutoff=30 m2021.023.28
I baselineTraining Protocol=Synthetic to Real [S → R], Cutoff=30 m2021.023.47
RAM NetTraining Protocol=Synthetic only [S], Cutoff=30 m2021.023.47
E2DepthCutoff=30 m2021.023.58
MegaDepthCutoff=10 m2021.023.92
Zhu et al.Cutoff=30 m2021.023.92
I baselineTraining Protocol=Synthetic only [S], Cutoff=20 m2021.024.52
I baselineTraining Protocol=Synthetic only [S], Cutoff=10 m2021.024.79
I baselineTraining Protocol=Synthetic only [S], Cutoff=30 m2021.025.34
MegaDepthCutoff=20 m2021.025.78
MegaDepthCutoff=30 m2021.027.05