Monocular Depth Estimation on Make3D C1 metrics up to 70m (test134)
0.204Abs RelLaina et al.
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Laina et al.Supervision=D, Training Data=M3D2021.03 | 0.204 | 1.84 | 5.683 | |
| PLADE-NetSupervision=S, Training Data=K+CS, Post-processing=true2021.03 | 0.253 | 2.1 | 6.031 | |
| FAL-netSupervision=S, Training Data=K+CS, Post-processing=true2021.03 | 0.254 | 2.14 | 6.139 | |
| PLADE-NetSupervision=S, Training Data=K+CS, Post-processing=false2021.03 | 0.257 | 2.146 | 6.097 | |
| PLADE-NetSupervision=S, Training Data=K, Post-processing=true2021.03 | 0.265 | 2.469 | 6.373 | |
| PLADE-NetSupervision=S, Training Data=K, Post-processing=false2021.03 | 0.276 | 2.635 | 6.546 | |
| FAL-netSupervision=S, Training Data=K, Post-processing=true2021.03 | 0.284 | 2.803 | 6.643 | |
| Zhou et al.Supervision=V, Training Data=K2021.03 | 0.318 | 2.288 | 6.669 | |
| Monodepth2Supervision=V, Training Data=K2021.03 | 0.322 | 3.589 | 7.417 | |
| Glez. and KimSupervision=S, Training Data=K2021.03 | 0.323 | 4.021 | 7.507 | |
| Wang et al.Supervision=S, Training Data=K2021.03 | 0.387 | 4.72 | 8.09 | |
| Liu et al.Supervision=D, Training Data=M3D2021.03 | 0.475 | 6.562 | 10.05 |