This leaderbord shows the ranking for Model-based 2D detection of unseen objects on HOT3D. The reported time is the average time to generate predictions for all objects in a single image (averaged over the datasets).
| Date (UTC) | Submission | Test image | AP | AP50 | AP75 | APS | APM | APL | AR1 | AR10 | AR100 | ARS | ARM | ARL | Time (s) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-11-14 | 3PT-Detection (Nov 2025) | RGB | 0.484 | 0.586 | 0.565 | 0.036 | 0.418 | 0.546 | 0.616 | 0.670 | 0.675 | 0.122 | 0.586 | 0.772 | 10.987 | |
| 2025-10-01 | 3PT-Detection (f.k.a IPT) | RGB | 0.481 | 0.583 | 0.560 | 0.040 | 0.411 | 0.542 | 0.610 | 0.656 | 0.657 | 0.099 | 0.561 | 0.764 | 112.256 | |
| 2025-08-26 | MUSE (muse_full) | RGB | 0.438 | 0.576 | 0.502 | 0.011 | 0.375 | 0.542 | 0.514 | 0.530 | 0.530 | 0.010 | 0.429 | 0.687 | 0.722 | |
| 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.