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BOP-Classic: Average on BOP-Classic-Core |   LM-O YCB-V T-LESS ITODD HB IC-BIN TUD-L |   HOPE LM RU-APC IC-MI TYO-L
BOP-H3: Average on BOP-H3 |   HOT3D HANDAL HOPEv2
Available tasks:
Model-based tasks on seen objects: 6D localization 6D detection 2D detection 2D segmentation
Model-based tasks on unseen objects: 6D localization 6D detection 2D detection 2D segmentation

Model-based 2D segmentation of unseen objects – BOP-Classic-Core

This leaderbord shows the overall ranking for Model-based 2D segmentation of unseen objects on BOP-Classic-Core (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 metrics are defined in Section 2 of the BOP challenge 2022 paper. 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)
2024-03-22 SAM6D(RGB) RGB 0.450 0.444 0.408 0.498 0.346 0.300 0.557 0.595 2.281
2024-03-22 SAM6D-FastSAM(RGB) RGB 0.428 0.406 0.393 0.501 0.278 0.290 0.522 0.606 0.249
2023-08-02 CNOS (SAM) RGB 0.403 0.396 0.397 0.391 0.284 0.282 0.480 0.595 1.847
2023-12-05 SAM6D RGB-D 0.481 0.460 0.451 0.569 0.357 0.332 0.593 0.605 2.795
2024-05-07 NIDS-Net_basic RGB 0.448 0.429 0.430 0.520 0.305 0.288 0.566 0.597 0.489
2024-11-16 MUSE RGB 0.505 0.478 0.451 0.565 0.375 0.399 0.597 0.672 0.559
2023-09-28 lcc-fastsam RGB 0.149 0.167 0.097 0.153 0.110 0.041 0.253 0.220 1.182
2023-08-02 CNOS (FastSAM) RGB 0.412 0.397 0.374 0.480 0.270 0.254 0.511 0.599 0.221
2023-11-21 ViewInvDet RGB 0.426 0.410 0.385 0.464 0.312 0.252 0.545 0.616 1.700
2023-12-05 SAM6D-FastSAM RGB-D 0.449 0.422 0.420 0.517 0.293 0.319 0.548 0.621 0.445
2024-05-08 NIDS-Net_WA RGB 0.475 0.432 0.492 0.535 0.305 0.294 0.624 0.643 0.486
2024-05-27 NIDS-Net_WA_Sappe RGB 0.486 0.439 0.496 0.556 0.328 0.315 0.620 0.650 0.485
2023-08-23 ZeroPose RGB 0.372 0.356 0.337 0.421 0.293 0.210 0.453 0.534 3.821

Tip: Hover over the numbers to see more decimal places.

Latest submissions to this leaderboard: