Model-based 6D detection of unseen objects – LM-O

This leaderbord shows the ranking for Model-based 6D detection of unseen objects on LM-O. The reported time is the average image processing time.

Date (UTC) Submission Test image AP APMSSD APMSPD Time (s)
2024-11-24 FRTPose.v1 (MUSE) RGB-D 0.802 0.783 0.821 43.066
2024-11-29 FreeZeV2.1 RGB-D 0.797 0.781 0.814 46.444
2024-11-02 FRTPose.v1 (Default Detections) RGB-D 0.793 0.774 0.812 78.145
2024-11-02 FRTPose.v1 (SAM6D-FastSAM) RGB-D 0.792 0.773 0.811 68.329
2024-11-24 FRTPose.v1 (SAM6D-FastSAM) RGB-D 0.789 0.770 0.808 68.351
2024-11-24 FRTPose.v1 (Default Detections) RGB-D 0.788 0.769 0.807 77.497
2024-09-19 FreeZeV2 (SAM6D) (SAR threshold = -1) RGB-D 0.775 0.759 0.791 80.277
2024-09-26 FreeZeV2 (SAM6D, Coarse-to-Fine) (0.45 to 0.25) RGB-D 0.743 0.729 0.757 14.875
2024-09-17 FreeZeV2 (SAM6D) RGB-D 0.719 0.705 0.733 8.766
2024-11-28 Co-op (F3DT2D, 5 Hypo, RGBD) (Intel(R) Core(TM) i9-14900K, RTX4090) RGB-D 0.701 0.682 0.720 15.487
2024-11-28 Co-op (F3DT2D, Coarse, RGBD) (sel rescoring, Intel(R) Core(TM) i9-14900K, RTX4090) RGB-D 0.698 0.678 0.719 1.146
2024-09-26 FreeZeV2 (SAM6D, Coarse-to-Fine) RGB-D 0.694 0.682 0.705 14.842
2024-11-28 Co-op (CNOS, Coarse, RGBD) (BOP 2024) RGB-D 0.683 0.665 0.701 3.277
2024-11-29 Co-op (CNOS, 5 Hypo, RGBD) (BOP 2024) RGB-D 0.682 0.663 0.701 14.694
2024-11-28 Co-op (CNOS, 1 Hypo, RGBD) (BOP 2024) RGB-D 0.670 0.651 0.689 10.572
2024-11-28 Co-op (F3DT2D, 5 Hypo) (Intel(R) Core(TM) i9-14900K, RTX4090) RGB 0.637 0.573 0.701 12.113
2024-11-28 Co-op (CNOS, 1 Hypo) (BOP 2024) RGB 0.615 0.555 0.675 9.637
2024-11-29 Co-op (CNOS, 5 Hypo) (BOP 2024) RGB 0.612 0.552 0.672 12.117
2024-09-20 GigaPose+GenFlow (5 hypothesis) RGB 0.597 0.533 0.661 23.131
2024-11-28 Co-op (CNOS, Coarse) (BOP 2024) RGB 0.589 0.500 0.679 3.279
2024-09-13 GigaPose+GenFlow (1 hypothesis) (RGBD) (threshold = 0.0) RGB-D 0.578 0.561 0.595 6.685
2024-09-27 GigaPose+GenFlow (1 hypothesis) (threshold = 0.6) RGB 0.554 0.494 0.614 6.857
2024-09-18 GigaPose+GenFlow+kabsch (5 hypothesis) RGB-D 0.237 0.230 0.244 25.082
2024-09-18 GigaPose-CVPR24 RGB 0.062 0.022 0.101 1.085

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