The performance scores are defined in the challenge description. The reported time is the average estimation time per image.
Date (UTC) | Submission | Test image | AR | ARVSD | ARMSSD | ARMSPD | Time (s) | |
---|---|---|---|---|---|---|---|---|
2020-08-18 | DPODv2 (synthetic train data, RGB + D Kabsch) | RGB-D | 0.752 | 0.662 | 0.796 | 0.797 | 0.032 | |
2019-07-31 | Drost-CVPR10-3D-Only | D | 0.751 | 0.678 | 0.786 | 0.789 | 1.786 | |
2020-08-18 | DPODv2 (synthetic train data, RGBD) | RGB-D | 0.733 | 0.634 | 0.784 | 0.782 | 0.029 | |
2019-10-17 | Drost-CVPR10-3D-Only-Faster | D | 0.723 | 0.655 | 0.754 | 0.759 | 0.297 | |
2019-08-12 | Drost-CVPR10-Edges | RGB-D | 0.722 | 0.650 | 0.756 | 0.761 | 32.577 | |
2019-08-05 | Drost-CVPR10-3D-Edges | D | 0.649 | 0.587 | 0.680 | 0.680 | 30.108 | |
2020-08-18 | Dense multi-view refinement: 4 views | RGB | 0.617 | 0.553 | 0.653 | 0.647 | -1.000 | |
2020-08-18 | DPODv2 (synthetic train data, RGB) | RGB | 0.608 | 0.487 | 0.587 | 0.752 | 0.039 | |
2020-08-18 | Dense multi-view refinement: 2 views | RGB | 0.598 | 0.525 | 0.633 | 0.636 | -1.000 | |
2019-10-14 | DPOD (synthetic) | RGB | 0.482 | 0.373 | 0.450 | 0.622 | 0.024 |