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

This leaderbord shows the ranking for Model-based 2D segmentation of unseen objects on LM-O. 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 0.460 0.794 0.493 0.071 0.517 0.408 0.517 0.534 0.534 0.095 0.590 0.606 3.008
2024-03-22 SAM6D(RGB) RGB 0.444 0.767 0.479 0.066 0.499 0.439 0.503 0.528 0.529 0.098 0.583 0.579 2.260
2024-05-27 NIDS-Net_WA_Sappe RGB 0.439 0.738 0.492 0.047 0.488 0.392 0.486 0.495 0.495 0.061 0.542 0.517 0.590
2024-05-08 NIDS-Net_WA RGB 0.432 0.733 0.482 0.049 0.480 0.366 0.483 0.494 0.494 0.061 0.541 0.513 0.596
2024-05-07 NIDS-Net_basic RGB 0.429 0.725 0.478 0.044 0.478 0.342 0.478 0.492 0.492 0.057 0.539 0.515 0.591
2023-12-05 SAM6D-FastSAM RGB-D 0.422 0.750 0.432 0.048 0.475 0.482 0.478 0.493 0.494 0.058 0.546 0.586 0.686
2023-11-21 ViewInvDet RGB 0.410 0.744 0.407 0.052 0.470 0.363 0.464 0.496 0.497 0.084 0.552 0.541 2.622
2024-03-22 SAM6D-FastSAM(RGB) RGB 0.406 0.726 0.414 0.045 0.460 0.424 0.461 0.492 0.492 0.058 0.545 0.573 0.367
2023-08-02 CNOS (FastSAM) (FastSAM) RGB 0.397 0.720 0.401 0.047 0.452 0.374 0.453 0.489 0.490 0.058 0.543 0.575 0.327
2023-08-02 CNOS (SAM) (SAM) RGB 0.396 0.668 0.444 0.058 0.446 0.421 0.446 0.469 0.470 0.070 0.523 0.583 1.721
2023-08-23 ZeroPose RGB 0.356 0.627 0.378 0.052 0.398 0.379 0.426 0.487 0.491 0.094 0.538 0.565 4.845
2023-09-27 lcc-fastsam (3rd. stage) RGB 0.167 0.302 0.171 0.019 0.203 0.278 0.231 0.330 0.341 0.058 0.377 0.412 1.712

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

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