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BOP-Classic: Core datasets |   HOPE LM LM-O YCB-V RU-APC T-LESS ITODD HB IC-BIN IC-MI TUD-L TYO-L
BOP-H3: Average-H3 |   HOT3D HANDAL HOPEv2
Available tasks:
Model-based tasks on seen objects: 6D localization 6D detection 2D detection 2D segmentation
Model-based tasks on unseen objects: 6D localization 6D detection 2D detection 2D segmentation

Model-based 2D detection of unseen objects – LM-O

This leaderbord shows the ranking for Model-based 2D detection of unseen objects on LM-O. 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 RGB-D 0.465 0.780 0.488 0.071 0.520 0.442 0.525 0.542 0.542 0.089 0.598 0.679 3.008
2023-12-05 SAM6D-FastSAM RGB-D 0.463 0.743 0.502 0.059 0.516 0.587 0.522 0.540 0.542 0.076 0.597 0.711 0.686
2024-05-08 NIDS-Net_WA_Sappe RGB 0.457 0.729 0.507 0.060 0.507 0.378 0.511 0.519 0.519 0.072 0.565 0.573 0.590
2024-05-08 NIDS-Net_WA RGB 0.449 0.723 0.497 0.062 0.501 0.318 0.507 0.516 0.516 0.072 0.564 0.553 0.596
2024-05-08 NIDS-Net_basic RGB 0.449 0.717 0.499 0.057 0.499 0.340 0.503 0.517 0.517 0.067 0.563 0.571 0.591
2023-11-23 ViewInvDet RGB 0.449 0.729 0.484 0.061 0.510 0.443 0.508 0.545 0.547 0.080 0.606 0.659 2.622
2024-03-22 SAM6D-FastSAM(RGB) RGB 0.438 0.707 0.476 0.055 0.494 0.523 0.501 0.537 0.539 0.076 0.595 0.693 0.367
2023-08-02 CNOS (FastSAM) (FastSAM) RGB 0.433 0.702 0.466 0.056 0.489 0.476 0.493 0.538 0.539 0.076 0.595 0.704 0.327
2023-08-02 CNOS (SAM) (SAM) RGB 0.395 0.647 0.430 0.050 0.452 0.401 0.452 0.476 0.477 0.057 0.533 0.604 1.721
2023-09-16 ZeroPose RGB 0.367 0.601 0.386 0.041 0.413 0.402 0.444 0.505 0.510 0.084 0.561 0.588 4.845

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

Latest submissions to this leaderboard: