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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 – T-LESS

This leaderbord shows the ranking for Model-based 2D detection of unseen objects on T-LESS. 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_Sappe RGB 0.493 0.605 0.525 0.015 0.389 0.548 0.540 0.604 0.604 0.014 0.465 0.735 0.462
2024-05-08 NIDS-Net_WA RGB 0.489 0.605 0.519 0.015 0.397 0.542 0.536 0.601 0.601 0.014 0.465 0.726 0.460
2023-12-05 SAM6D-FastSAM RGB-D 0.458 0.553 0.490 0.010 0.364 0.511 0.498 0.556 0.556 0.009 0.412 0.670 0.566
2023-12-05 SAM6D RGB-D 0.437 0.558 0.465 0.015 0.352 0.480 0.479 0.535 0.535 0.014 0.405 0.640 2.845
2024-05-08 NIDS-Net_basic RGB 0.428 0.529 0.452 0.011 0.345 0.466 0.489 0.553 0.553 0.010 0.416 0.674 0.470
2024-03-22 SAM6D-FastSAM(RGB) RGB 0.417 0.518 0.442 0.008 0.288 0.482 0.478 0.544 0.544 0.007 0.389 0.664 0.306
2023-11-23 ViewInvDet RGB 0.403 0.518 0.425 0.015 0.286 0.467 0.486 0.574 0.574 0.020 0.422 0.679 2.184
2023-08-02 CNOS (FastSAM) (FastSAM) RGB 0.395 0.497 0.416 0.008 0.277 0.459 0.467 0.538 0.538 0.007 0.395 0.660 0.278
2023-08-02 CNOS (SAM) (SAM) RGB 0.330 0.468 0.335 0.008 0.253 0.367 0.408 0.471 0.471 0.008 0.361 0.552 2.126
2023-09-17 ZeroPose RGB 0.300 0.402 0.302 0.018 0.232 0.341 0.379 0.441 0.441 0.017 0.305 0.527 4.180

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

Latest submissions to this leaderboard: