This leaderbord shows the ranking for Model-based 2D detection of seen objects on HB. The metrics are defined in Section 2 of the BOP 2022 paper. The reported time is the average image processing time.
Date (UTC) | Submission | Test image | AP | AP50 | AP75 | APS | APM | APL | AR1 | AR10 | AR100 | ARS | ARM | ARL | Time (s) | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-09-25 | GDet2023 | RGB | 0.847 | 0.966 | 0.941 | 0.442 | 0.865 | 0.931 | 0.863 | 0.874 | 0.876 | 0.447 | 0.883 | 0.965 | 0.206 | |
2023-09-26 | GDet2023-PBR | RGB | 0.847 | 0.966 | 0.941 | 0.442 | 0.865 | 0.931 | 0.863 | 0.874 | 0.876 | 0.447 | 0.883 | 0.965 | 0.206 | |
2022-10-14 | GDRNPPDet_PBR | RGB | 0.809 | 0.958 | 0.900 | 0.363 | 0.827 | 0.911 | 0.828 | 0.845 | 0.850 | 0.488 | 0.854 | 0.953 | 0.081 | |
2022-10-14 | GDRNPPDet_PBRReal | RGB | 0.809 | 0.958 | 0.900 | 0.363 | 0.827 | 0.911 | 0.828 | 0.845 | 0.850 | 0.488 | 0.854 | 0.953 | 0.081 | |
2022-10-16 | DLZDet-PBR1 (DLZDet-PBR1) | RGB | 0.777 | 0.927 | 0.862 | 0.344 | 0.797 | 0.800 | 0.807 | 0.834 | 0.838 | 0.429 | 0.844 | 0.941 | -1.000 | |
2022-10-16 | DLZDet-PBR+Real (DLZDet-PBR+Real) | RGB | 0.777 | 0.927 | 0.862 | 0.344 | 0.797 | 0.800 | 0.807 | 0.834 | 0.838 | 0.429 | 0.844 | 0.941 | -1.000 | |
2022-07-20 | Extended FCOS-PBR (v2) | RGB | 0.735 | 0.897 | 0.817 | 0.251 | 0.755 | 0.847 | 0.762 | 0.787 | 0.787 | 0.267 | 0.794 | 0.916 | -1.000 | |
2022-07-23 | Extended FCOS-MixPBR (v2) | RGB | 0.735 | 0.897 | 0.817 | 0.251 | 0.755 | 0.847 | 0.762 | 0.787 | 0.787 | 0.267 | 0.794 | 0.916 | 0.030 | |
2022-05-24 | CosyPose-ECCV20-PBR-1VIEW | RGB | 0.635 | 0.868 | 0.693 | 0.043 | 0.643 | 0.716 | 0.663 | 0.680 | 0.680 | 0.043 | 0.682 | 0.861 | 0.047 | |
2022-05-24 | CosyPose-ECCV20-SYNT+REAL-1VIEW | RGB | 0.635 | 0.868 | 0.693 | 0.043 | 0.643 | 0.716 | 0.663 | 0.680 | 0.680 | 0.043 | 0.682 | 0.861 | 0.047 |
Tip: Hover over the numbers to see more decimal places.