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Task: Pose estimation (BOP 2019-2022) Detection (BOP 2022) Segmentation (BOP 2022)
Dataset: Core datasets LM LM-O T-LESS ITODD HB HOPE YCB-V RU-APC IC-BIN IC-MI TUD-L TYO-L

Detection (BOP 2022) – MVTec ITODD

The performance scores are defined in the BOP Challenge 2022 description. 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_PBR RGB 0.593 0.732 0.671 -1.000 0.495 0.594 0.246 0.761 0.795 -1.000 0.589 0.817 0.082
2022-10-14 GDRNPPDet_PBRReal RGB 0.593 0.732 0.671 -1.000 0.495 0.594 0.246 0.761 0.795 -1.000 0.589 0.817 0.082
2022-07-20 Extended FCOS-PBR (v2) RGB 0.486 0.623 0.554 -1.000 0.428 0.489 0.226 0.662 0.673 -1.000 0.491 0.699 -1.000
2022-07-23 Extended FCOS-MixPBR (v2) RGB 0.486 0.623 0.554 -1.000 0.428 0.489 0.226 0.662 0.673 -1.000 0.491 0.699 0.030
2022-05-04 CosyPose-ECCV20-PBR-1VIEW RGB 0.365 0.502 0.405 -1.000 0.502 0.364 0.185 0.511 0.515 -1.000 0.565 0.528 0.080
2022-05-04 CosyPose-ECCV20-SYNT+REAL-1VIEW RGB 0.365 0.502 0.405 -1.000 0.502 0.364 0.185 0.511 0.515 -1.000 0.565 0.528 0.080
2022-10-16 DLZDet-PBR+Real (DLZDet-PBR+Real) RGB 0.344 0.531 0.399 -1.000 0.448 0.342 0.170 0.564 0.623 -1.000 0.566 0.630 -1.000
2022-10-16 DLZDet-PBR1 (DLZDet-PBR1) RGB 0.344 0.531 0.399 -1.000 0.448 0.342 0.170 0.564 0.623 -1.000 0.566 0.630 -1.000
2022-07-23 FCOS-CDPN-PBR RGB 0.304 0.405 0.340 -1.000 0.333 0.305 0.187 0.564 0.581 -1.000 0.533 0.594 0.052
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