Model-based 2D detection of unseen objects – HB

This leaderbord shows the ranking for Model-based 2D detection of unseen objects on HB. 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 0.594 0.764 0.618 0.045 0.606 0.643 0.643 0.650 0.650 0.046 0.648 0.802 0.467
2024-05-08 NIDS-Net_WA_Sappe RGB 0.587 0.755 0.609 0.044 0.598 0.665 0.634 0.649 0.649 0.046 0.645 0.850 0.463
2023-11-23 ViewInvDet RGB 0.554 0.721 0.581 0.001 0.560 0.685 0.616 0.624 0.624 0.017 0.621 0.816 1.719
2023-12-05 SAM6D-FastSAM RGB-D 0.551 0.707 0.573 0.018 0.556 0.727 0.590 0.595 0.595 0.017 0.590 0.826 0.442
2024-05-08 NIDS-Net_basic RGB 0.548 0.700 0.570 0.044 0.558 0.629 0.598 0.613 0.613 0.046 0.609 0.832 0.469
2023-12-05 SAM6D RGB-D 0.530 0.722 0.549 0.006 0.541 0.601 0.575 0.582 0.582 0.043 0.580 0.711 2.957
2024-03-22 SAM6D-FastSAM(RGB) RGB 0.523 0.676 0.544 0.018 0.525 0.680 0.577 0.585 0.585 0.017 0.578 0.822 0.249
2023-08-02 CNOS (FastSAM) (FastSAM) RGB 0.517 0.669 0.532 0.006 0.523 0.658 0.578 0.586 0.586 0.017 0.579 0.826 0.220
2023-08-02 CNOS (SAM) (SAM) RGB 0.423 0.565 0.440 0.005 0.435 0.386 0.475 0.479 0.479 0.043 0.477 0.522 1.803
2023-09-17 ZeroPose RGB 0.398 0.547 0.397 0.000 0.419 0.431 0.492 0.525 0.525 0.003 0.531 0.638 3.628

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

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