This leaderbord shows the ranking for Model-based 2D detection of seen objects on TUD-L. 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) | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-14 | GDRNPPDet_PBRReal | RGB | 0.895 | 1.000 | 0.993 | 0.826 | 0.898 | 0.923 | 0.914 | 0.914 | 0.914 | 0.825 | 0.909 | 0.952 | 0.078 | |
2023-09-25 | GDet2023 | RGB | 0.891 | 1.000 | 0.993 | 0.901 | 0.888 | 0.946 | 0.910 | 0.911 | 0.911 | 0.900 | 0.903 | 0.971 | 0.196 | |
2022-07-25 | Extended FCOS-MixPBR (v3) | RGB | 0.866 | 0.996 | 0.979 | 0.802 | 0.865 | 0.916 | 0.889 | 0.889 | 0.889 | 0.800 | 0.880 | 0.950 | 0.030 | |
2022-07-23 | Extended FCOS-MixPBR (v2) | RGB | 0.836 | 0.988 | 0.960 | 0.776 | 0.834 | 0.890 | 0.862 | 0.867 | 0.867 | 0.775 | 0.855 | 0.944 | 0.033 | |
2022-05-04 | CosyPose-ECCV20-SYNT+REAL-1VIEW | RGB | 0.826 | 1.000 | 0.968 | 0.750 | 0.828 | 0.849 | 0.852 | 0.852 | 0.852 | 0.750 | 0.844 | 0.902 | 0.041 | |
2023-09-26 | GDet2023-PBR | RGB | 0.755 | 0.982 | 0.928 | 0.676 | 0.766 | 0.738 | 0.789 | 0.800 | 0.800 | 0.675 | 0.798 | 0.781 | 0.200 | |
2022-10-14 | GDRNPPDet_PBR | RGB | 0.728 | 0.973 | 0.899 | 0.751 | 0.740 | 0.655 | 0.768 | 0.783 | 0.784 | 0.800 | 0.783 | 0.756 | 0.083 | |
2022-10-16 | DLZDet-PBR1 (DLZDet-PBR1) | RGB | 0.696 | 0.932 | 0.830 | 0.875 | 0.701 | 0.715 | 0.736 | 0.787 | 0.797 | 0.925 | 0.797 | 0.792 | -1.000 | |
2022-05-04 | CosyPose-ECCV20-PBR-1VIEW | RGB | 0.664 | 0.920 | 0.808 | 0.655 | 0.675 | 0.562 | 0.706 | 0.734 | 0.734 | 0.700 | 0.736 | 0.614 | 0.044 | |
2022-07-21 | Extended FCOS-PBR (v2) | RGB | 0.663 | 0.905 | 0.804 | 0.518 | 0.678 | 0.574 | 0.713 | 0.760 | 0.762 | 0.600 | 0.767 | 0.712 | -1.000 |
Tip: Hover over the numbers to see more decimal places.