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

This leaderbord shows the overall ranking for Model-based 2D detection 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 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)
2023-11-23 ViewInvDet RGB 0.442 0.449 0.403 0.508 0.268 0.328 0.554 0.581 1.700
2023-12-05 SAM6D-FastSAM RGB-D 0.471 0.463 0.458 0.573 0.245 0.419 0.551 0.589 0.445
2024-03-22 SAM6D-FastSAM(RGB) RGB 0.444 0.438 0.417 0.546 0.234 0.374 0.523 0.573 0.249
2023-08-02 CNOS (SAM) RGB 0.361 0.395 0.330 0.368 0.207 0.313 0.423 0.490 1.847
2023-12-05 SAM6D RGB-D 0.449 0.465 0.437 0.537 0.261 0.394 0.530 0.518 2.795
2024-09-18 F3DT2D RGB 0.509 0.504 0.482 0.573 0.284 0.480 0.577 0.666 0.432
2024-05-08 NIDS-Net_WA RGB 0.460 0.449 0.489 0.460 0.245 0.360 0.594 0.624 0.486
2023-09-17 ZeroPose RGB 0.341 0.367 0.300 0.431 0.228 0.250 0.398 0.416 3.821
2024-05-08 NIDS-Net_basic RGB 0.431 0.449 0.428 0.434 0.244 0.349 0.548 0.565 0.489
2024-05-08 NIDS-Net_WA_Sappe RGB 0.469 0.457 0.493 0.486 0.257 0.379 0.587 0.621 0.485
2023-08-02 CNOS (FastSAM) RGB 0.428 0.433 0.395 0.534 0.226 0.325 0.517 0.568 0.221

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

Latest submissions to this leaderboard: