Table 3 Quantitative evaluation of the NYU depth V2 dataset with various monocular depth estimation methods.
Method | Abs Rel | Log 10 | RMSE | δ < 1.25 | δ < 1.252 | δ < 1.253 |
---|---|---|---|---|---|---|
Low is better | High is better | |||||
Eigen et al.5 | 0.215 | 0.095 | 0.641 | 0.611 | 0.887 | 0.971 |
Li et al.49 | 0.232 | 0.094 | 0.821 | 0.621 | 0.886 | 0.968 |
Liu et al.27 | 0.213 | 0.087 | 0.759 | 0.650 | 0.906 | 0.976 |
Laina et al.26 | 0.127 | 0.055 | 0.569 | 0.811 | 0.953 | 0.988 |
Xu et al.9 | 0.125 | 0.057 | 0.593 | 0.806 | 0.952 | 0.986 |
Fu et al.29 | 0.115 | 0.051 | 0.509 | 0.828 | 0.965 | 0.992 |
Lee et al.48 | 0.111 | 0.048 | 0.399 | 0.880 | 0.977 | 0.994 |
Song et al.30 | 0.110 | 0.047 | 0.393 | 0.885 | 0.979 | 0.995 |
Ours | 0.089 | 0.035 | 0.406 | 0.923 | 0.987 | 0.995 |