Model-based 2D detection of unseen objects – YCB-V

This leaderbord shows the ranking for Model-based 2D detection of unseen objects on YCB-V. 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)
2024-05-08 NIDS-Net_WA RGB 0.624 0.836 0.716 0.000 0.493 0.670 0.687 0.697 0.697 0.000 0.525 0.769 0.445
2024-05-08 NIDS-Net_WA_Sappe RGB 0.621 0.835 0.712 0.000 0.498 0.669 0.684 0.694 0.694 0.000 0.526 0.766 0.436
2023-12-05 SAM6D-FastSAM RGB-D 0.589 0.810 0.679 0.000 0.454 0.643 0.651 0.660 0.660 0.000 0.488 0.731 0.370
2023-11-23 ViewInvDet RGB 0.581 0.805 0.669 0.000 0.455 0.632 0.638 0.653 0.653 0.000 0.486 0.714 1.388
2024-03-22 SAM6D-FastSAM(RGB) RGB 0.573 0.787 0.661 0.000 0.441 0.629 0.646 0.653 0.653 0.000 0.487 0.724 0.209
2023-08-02 CNOS (FastSAM) (FastSAM) RGB 0.568 0.781 0.656 0.000 0.437 0.623 0.635 0.650 0.650 0.000 0.485 0.720 0.185
2024-05-08 NIDS-Net_basic RGB 0.565 0.754 0.646 0.000 0.461 0.605 0.636 0.644 0.644 0.000 0.489 0.705 0.445
2023-12-05 SAM6D RGB-D 0.518 0.794 0.562 0.000 0.425 0.559 0.591 0.607 0.607 0.000 0.467 0.669 2.821
2023-08-02 CNOS (SAM) (SAM) RGB 0.490 0.760 0.519 0.000 0.417 0.502 0.571 0.580 0.580 0.000 0.443 0.604 1.784
2023-09-17 ZeroPose RGB 0.416 0.692 0.406 0.000 0.322 0.475 0.519 0.549 0.552 0.000 0.414 0.619 3.444

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

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