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) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | |
| 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 | |
| 2024-11-16 | MUSE | RGB | 0.520 | 0.512 | 0.467 | 0.595 | 0.298 | 0.502 | 0.589 | 0.674 | 0.559 | |
| 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 | |
| 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 | |
| 2024-09-18 | F3DT2D | RGB | 0.509 | 0.504 | 0.482 | 0.573 | 0.284 | 0.480 | 0.577 | 0.666 | 0.432 | |
| 2023-12-05 | SAM6D | RGB-D | 0.449 | 0.465 | 0.437 | 0.537 | 0.261 | 0.394 | 0.530 | 0.518 | 2.795 | |
| 2023-09-17 | ZeroPose | RGB | 0.341 | 0.367 | 0.300 | 0.431 | 0.228 | 0.250 | 0.398 | 0.416 | 3.821 |
Tip: Hover over the numbers to see more decimal places.