Segmentation (BOP 2022) – Core datasets

This leaderbord shows the overall ranking on the core datasets (LM-O, T-LESS, TUD-L, IC-BIN, ITODD, HB, YCB-V). For each method, the date of the latest considered submission is reported. If more submissions of a method are available for a dataset, the submission with the highest APCore score is considered. The performance scores are defined in the BOP Challenge 2022 description. The reported time is the average image processing time averaged over the core datasets.

Date (UTC) Method Test image APCore APLM-O APT-LESS APTUD-L APIC-BIN APITODD APHB APYCB-V Time (s)
2022-10-16 DLZDet-PBRREAL RGB 0.496 0.460 0.584 0.606 0.316 0.239 0.600 0.669
2022-05-24 CosyPose-ECCV20-PBR-1VIEW RGB 0.362 0.375 0.517 0.306 0.316 0.122 0.471 0.429 0.055
2022-10-16 ZebraPoseSAT-EffnetB4 RGB 0.578 0.506 0.709 0.707 0.379 0.361 0.644 0.740 0.080
2022-10-16 ZebraPoseSAT-EffnetB4 (PBR_Only) RGB 0.523 0.506 0.629 0.514 0.379 0.361 0.644 0.626 0.080
2022-10-16 ZebraPoseSAT-EffnetB4 (DefaultDetection) RGB 0.587 0.502 0.682 0.713 0.468 0.352 0.662 0.727 0.080
2022-10-16 ZebraPoseSAT-EffnetB4 (DefaultDet+PBR... RGB 0.538 0.502 0.655 0.517 0.468 0.352 0.662 0.609 0.080
2022-10-16 DLZDet-PBR+Real RGB 0.433 0.460 0.596 0.464 0.192 0.239 0.600 0.483
2022-10-16 DLZDet-PBR1 RGB 0.429 0.460 0.584 0.452 0.192 0.239 0.600 0.477
2022-05-24 CosyPose-ECCV20-SYNT+REAL-1VIEW RGB 0.405 0.375 0.544 0.489 0.316 0.122 0.471 0.520 0.054