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BOP Challenge 2019/2020: Core datasets LM LM-O T-LESS ITODD HB YCB-V RU-APC IC-BIN IC-MI TUD-L TYO-L

BOP Challenge 2019/2020 – Linemod

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
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