This leaderbord shows the ranking for Model-based 6D detection of seen objects on IPD. The reported time is the average time to generate predictions for all objects in a single image (averaged over the datasets).
| Date (UTC) | Submission | Views | Test image | AP | APMSSD | APMSPD | Time (s) | |
|---|---|---|---|---|---|---|---|---|
| 2025-06-01 | FRTPose-WAPR（Multi Cam） | Multi | RGB-D | 0.933 | 0.895 | 0.970 | 21.760 | |
| 2025-09-29 | FRTPose-WAPR.v2（Multi View） | Multi | RGB-D | 0.932 | 0.897 | 0.968 | 33.897 | |
| 2025-10-01 | 3PT-Pose-Industrial (f.k.a. IPT) | Multi | RGB | 0.923 | 0.914 | 0.933 | 160.481 | |
| 2025-09-29 | FRTPose-WAPR.v2（yolo） | Single | RGB-D | 0.778 | 0.761 | 0.794 | 22.939 | |
| 2025-05-31 | FRTPose-WAPR（yolo） | Single | RGB-D | 0.759 | 0.740 | 0.779 | 39.820 | |
| 2025-09-30 | FRTPose-WAPR.v2（yolo）（1s） (new yolo0.20) | Single | RGB-D | 0.746 | 0.731 | 0.761 | 1.343 | |
| 2025-05-30 | FRTPose-WAPR（yolo） (conf-0.60) | Single | RGB-D | 0.685 | 0.670 | 0.700 | 1.142 | |
| 2025-06-01 | FRTPose-WAPR（yolo）（1s） | Single | RGB-D | 0.685 | 0.670 | 0.700 | 1.142 | |
| 2025-06-01 | FreeZeV2.2 | Single | RGB-D | 0.439 | 0.419 | 0.459 | 7.201 |
Tip: Hover over the numbers to see more decimal places.