This leaderbord shows the ranking for Model-based 2D detection of unseen objects on HOT3D. The metrics are defined in Section 2 of the BOP 2022 paper. 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) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024-11-17 | MUSE (full) | RGB | 0.426 | 0.563 | 0.486 | 0.015 | 0.363 | 0.544 | 0.514 | 0.530 | 0.530 | 0.014 | 0.426 | 0.710 | 1.197 | |
| 2024-09-20 | CNOS (FastSAM) (Pyrender) | RGB | 0.350 | 0.485 | 0.386 | 0.011 | 0.320 | 0.445 | 0.474 | 0.499 | 0.499 | 0.011 | 0.410 | 0.664 | 0.253 | |
| 2024-09-20 | CNOS (SAM) (Pyrender) | RGB | 0.317 | 0.446 | 0.359 | 0.006 | 0.280 | 0.421 | 0.407 | 0.420 | 0.421 | 0.006 | 0.347 | 0.581 | 1.266 |
Tip: Hover over the numbers to see more decimal places.