Depth Estimation on KITTI 50m cap (test)
0.103Abs RelStruct2Depth (M+R)
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Struct2Depth (M+R)Cap=50m, Motion=Yes, Refinement=Yes2019.06 | 0.103 | 0.6217 | 3.5546 | 0.1749 | 88.66 | 96.32 | 98.46 | |
| Struct2Depth (M+R)Supervision=None, Motion=Yes, Cap=50m, Online Refinement=Yes2019.06 | 0.1052 | 0.6231 | 3.5591 | 0.1779 | 88.34 | 96.2 | 98.41 | |
| SharinGANSupervised=No, Training Dataset=K+S, Cap=50m2020.06 | 0.109 | 0.673 | 3.77 | 0.19 | 86.4 | 95.4 | 98.1 | |
| Struct2Depth (R)Cap=50m, Motion=No, Refinement=Yes2019.06 | 0.1141 | 0.9284 | 3.8777 | 0.1897 | 88.41 | 95.71 | 97.92 | |
| Kuznietsov et al.Supervised=Yes, Training Dataset=K, Cap=50m2020.06 | 0.117 | 0.597 | 3.531 | 0.183 | 86.1 | 96.4 | 98.9 | |
| Struct2Depth (R)Supervision=None, Motion=No, Cap=50m, Online Refinement=Yes2019.06 | 0.1175 | 0.9398 | 3.8833 | 0.1932 | 87.99 | 95.6 | 97.87 | |
| Struct2Depth (Baseline)Cap=50m, Motion=No, Refinement=No2019.06 | 0.1343 | 0.8229 | 4.1078 | 0.2038 | 83.65 | 95.06 | 98.02 | |
| Struct2Depth (M)Cap=50m, Motion=Yes, Refinement=No2019.06 | 0.135 | 0.7912 | 4.0573 | 0.2031 | 83.11 | 95.27 | 98.22 | |
| Struct2Depth (M)Supervision=None, Motion=Yes, Cap=50m2019.06 | 0.1377 | 0.7918 | 4.0514 | 0.2066 | 82.6 | 95.06 | 98.14 | |
| Struct2Depth (Baseline)Supervision=None, Motion=No, Cap=50m2019.06 | 0.1388 | 0.8344 | 4.1306 | 0.2087 | 82.91 | 94.8 | 97.93 | |
| Godard et al.Supervised=No, Training Dataset=K, Cap=50m2020.06 | 0.14 | 0.976 | 4.471 | 0.232 | 81.8 | 93.1 | 96.9 | |
| GASDASupervised=No, Training Dataset=K+S, Cap=50m2020.06 | 0.143 | 0.756 | 3.846 | 0.217 | 83.6 | 94.6 | 97.6 | |
| DDVOCap=50m, Evaluation Protocol=Computed using author predictions2019.06 | 0.1436 | 0.9348 | 4.2338 | 0.2144 | 82.67 | 94.46 | 97.74 | |
| GeoNetCap=50m2019.06 | 0.147 | 0.936 | 4.348 | 0.218 | 81 | 94.1 | 97.7 | |
| DDVOSupervision=None, Motion=No, Cap=50m2019.06 | 0.1488 | 0.9498 | 4.2551 | 0.2195 | 81.81 | 94.23 | 97.65 | |
| All real (baseline)Supervised=No, Training Dataset=K, Cap=50m2020.06 | 0.151 | 0.856 | 4.043 | 0.227 | 82.4 | 94 | 97.3 | |
| GeoNetSupervision=None, Motion=No, Cap=50m2019.06 | 0.1512 | 0.9455 | 4.3627 | 0.2224 | 80.23 | 93.87 | 97.59 | |
| Mahjourian et al.Cap=50m2019.06 | 0.155 | 0.927 | 4.549 | 0.231 | 78.1 | 93.1 | 97.5 | |
| Mahjourian et al.Supervision=None, Motion=No, Cap=50m2019.06 | 0.1563 | 0.9602 | 4.4051 | 0.232 | 79.4 | 93.23 | 97.32 | |
| T2NetSupervised=No, Training Dataset=K+S, Cap=50m2020.06 | 0.168 | 1.199 | 4.674 | 0.243 | 77.2 | 91.2 | 96.6 | |
| Garg et al.Cap=50m, Supervision=Stereo Images2019.06 | 0.169 | 1.08 | 5.104 | 0.273 | 74 | 90.4 | 96.2 | |
| Garg et al.Supervised=No, Training Dataset=K, Cap=50m2020.06 | 0.169 | 1.08 | 5.104 | 0.273 | 74 | 90.4 | 96.2 | |
| Kundu et al.Supervised=No, Training Dataset=K+S, Cap=50m2020.06 | 0.203 | 1.731 | 6.251 | 0.284 | 68.7 | 89.9 | 95.8 | |
| All synthetic (baseline)Supervised=No, Training Dataset=S, Cap=50m2020.06 | 0.244 | 1.771 | 5.354 | 0.313 | 64.7 | 86.6 | 94.3 |