This table shows the detailed subrankings for a particular benchmark.
Format of each entry: rank (original rank) performance.
scannet_d_abs-rel | scannet_d_inv-mae | scannet_d_inv-rmse | scannet_d_scale-invar | scannet_d_sqr-rel | ||
1 | DABC_ROB | 1 (1) 0.14 | 2 (1) 0.1 | 2 (1) 0.13 | 3 (1) 0.02 | 4 (2) 0.06 |
1 | DORN_ROB | 2 (1) 0.14 | 3 (1) 0.1 | 3 (1) 0.13 | 4 (1) 0.02 | 5 (2) 0.06 |
3 | TASKNetV1_ROB | 4 (2) 0.15 | 7 (2) 0.11 | 6 (2) 0.14 | 6 (1) 0.02 | 1 (1) 0.05 |
4 | CSWS_E_ROB | 3 (2) 0.15 | 1 (1) 0.1 | 1 (1) 0.13 | 2 (1) 0.02 | 3 (2) 0.06 |
4 | UReUFo_ROB | 5 (2) 0.15 | 4 (1) 0.1 | 4 (1) 0.13 | 7 (1) 0.02 | 6 (2) 0.06 |
6 | BRNet_ROB | 6 (3) 0.16 | 5 (2) 0.11 | 5 (2) 0.14 | 1 (1) 0.02 | 2 (2) 0.06 |
7 | FCRN_ROB | 7 (4) 0.17 | 6 (2) 0.11 | 7 (3) 0.15 | 5 (1) 0.02 | 7 (3) 0.08 |
8 | FUSION_ROB | 8 (5) 0.18 | 9 (3) 0.13 | 9 (4) 0.16 | 9 (2) 0.03 | 8 (4) 0.09 |
9 | APMoE_base_ROB | 9 (6) 0.2 | 8 (3) 0.13 | 8 (4) 0.16 | 8 (2) 0.03 | 9 (5) 0.1 |
10 | robustDepth_ROB | 10 (7) 0.22 | 10 (5) 0.15 | 10 (7) 0.19 | 10 (3) 0.04 | 10 (6) 0.12 |
11 | GoogLeNetV1_ROB | 11 (8) 0.25 | 11 (6) 0.17 | 11 (8) 0.21 | 11 (4) 0.05 | 11 (7) 0.14 |
12 | UNET_depth_ROB | 12 (9) 0.34 | 12 (7) 0.27 | 12 (9) 0.3 | 12 (5) 0.08 | 12 (8) 0.18 |