2D detection of unseen objects – TUD-L

This leaderbord shows the ranking for Task 5 on TUD-L. 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)
2023-12-05 SAM6D-FastSAM RGB-D 0.573 0.865 0.672 0.577 0.583 0.621 0.648 0.667 0.667 0.600 0.662 0.718 0.333
2024-03-22 SAM6D-FastSAM(RGB) RGB 0.546 0.830 0.633 0.536 0.554 0.608 0.631 0.658 0.658 0.575 0.655 0.712 0.186
2023-12-05 SAM6D RGB-D 0.537 0.850 0.617 0.575 0.549 0.446 0.634 0.655 0.659 0.700 0.652 0.605 2.393
2023-08-02 CNOS (FastSAM) (FastSAM) RGB 0.534 0.829 0.623 0.507 0.553 0.378 0.635 0.655 0.655 0.675 0.652 0.603 0.163
2023-11-23 ViewInvDet RGB 0.508 0.813 0.584 0.599 0.533 0.436 0.620 0.648 0.648 0.650 0.649 0.633 1.268
2023-09-17 ZeroPose RGB 0.431 0.650 0.514 0.030 0.442 0.446 0.540 0.607 0.614 0.775 0.611 0.510 3.406
2023-08-02 CNOS (SAM) (SAM) RGB 0.368 0.598 0.399 0.308 0.383 0.245 0.453 0.476 0.476 0.675 0.477 0.420 1.623

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

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