Monocular Depth Estimation on KITTI 50m cap 11 (Eigen)
0.091Abs Rel3Net ResNet50 + pp
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| 3Net ResNet50 + ppSupervision=Stereo, Train set=CS+E2018.08 | 0.091 | 0.572 | 3.459 | 0.183 | 88.9 | 95.5 | 97.9 | |
| Godard et al. ResNet50 + ppSupervision=Stereo, Train set=CS+E2018.08 | 0.108 | 0.657 | 3.729 | 0.194 | 87.3 | 95.4 | 97.9 | |
| 3Net ResNet50 + ppSupervision=Stereo, Train set=E2018.08 | 0.1207 | 0.7185 | 3.968 | 0.208 | 84.9 | 94.8 | 97.7 | |
| Godard et al. ResNet50 + ppSupervision=Stereo, Train set=E2018.08 | 0.1217 | 0.763 | 4.047 | 0.21 | 84.7 | 94.6 | 97.6 | |
| Zhan et al.Supervision=Stereo+Temp., Train set=E2018.08 | 0.135 | 0.905 | 4.366 | 0.225 | 81.8 | 93.7 | 97.3 | |
| Poggi et al. PyD-Net (200)Supervision=Stereo, Train set=CS+E2018.08 | 0.138 | 0.937 | 4.488 | 0.23 | 81.5 | 93.4 | 97.2 | |
| Mahjourian et al.Supervision=Temporal, Train set=CS+E2018.08 | 0.151 | 0.949 | 4.383 | 0.227 | 80.2 | 93.5 | 97.4 | |
| Mahjourian et al.Supervision=Temporal, Train set=E2018.08 | 0.155 | 0.927 | 4.549 | 0.231 | 78.1 | 93.1 | 97.5 | |
| Zhou et al.Supervision=Temporal, Train set=CS+E2018.08 | 0.19 | 1.436 | 4.975 | 0.258 | 73.5 | 91.5 | 96.8 | |
| Zhou et al.Supervision=Temporal, Train set=E2018.08 | 0.201 | 1.391 | 5.181 | 0.264 | 69.6 | 90 | 96.6 |