Model-based 6D localization of unseen objects – YCB-V

This leaderbord shows the ranking for Model-based 6D localization of unseen objects on YCB-V. The reported time is the average image processing time.

Date (UTC) Submission Test image AR ARVSD ARMSSD ARMSPD Time (s)
2024-11-29 FreeZeV2.1 RGB-D 0.915 0.888 0.948 0.908 26.760
2024-09-07 FRTPose (Default Detections) RGB-D 0.913 0.879 0.957 0.904 21.312
2024-09-04 FRTPose (SAM6D-FastSAM) RGB-D 0.913 0.879 0.956 0.903 19.986
2024-11-02 FRTPose.v1 (SAM6D-FastSAM) RGB-D 0.910 0.878 0.954 0.899 26.955
2024-11-24 FRTPose.v1 (SAM6D-FastSAM) RGB-D 0.910 0.878 0.953 0.899 26.448
2024-11-24 FRTPose.v1 (MUSE) RGB-D 0.910 0.878 0.952 0.898 15.003
2024-11-02 FRTPose.v1 (Default Detections) RGB-D 0.910 0.878 0.953 0.898 29.481
2024-11-24 FRTPose.v1 (Default Detections) RGB-D 0.908 0.877 0.952 0.897 28.902
2024-09-17 FreeZeV2 RGB-D 0.906 0.882 0.936 0.900 14.340
2024-11-25 Co-op (F3DT2D, 5 Hypo, RGBD) (BOP 2024) RGB-D 0.898 0.865 0.944 0.884 5.714
2024-08-27 FoundationPose(NVIDIA) RGB-D 0.889 0.856 0.931 0.880 9.942
2024-11-18 Co-op (CNOS, 5 Hypo, RGBD) RGB-D 0.887 0.856 0.932 0.873 5.801
2024-11-25 Co-op (F3DT2D, 1 Hypo, RGBD) (refine iter 1, magsac++ / Intel(R) Core(TM) i9-14900K, RTX4090) RGB-D 0.886 0.857 0.930 0.872 0.488
2024-11-18 Co-op (CNOS, 1 Hypo, RGBD) RGB-D 0.874 0.849 0.916 0.856 1.634
2024-09-07 FRTPose (SAM6D-FastSAM & top k) RGB-D 0.869 0.841 0.907 0.859 0.716
2024-07-25 FreeZe (CNOS) RGB-D 0.853 0.846 0.876 0.838 18.139
2024-11-18 Co-op (CNOS, Coarse, RGBD) RGB-D 0.853 0.824 0.899 0.835 0.497
2024-01-22 SAM6D RGB-D 0.845 0.823 0.875 0.836 4.185
2024-07-30 FreeZe (SAM6D) RGB-D 0.840 0.832 0.864 0.824 11.045
2024-01-11 SAM6D RGB-D 0.838 0.822 0.866 0.825 4.208
2024-03-04 SAM6D-FastSAM RGB-D 0.834 0.815 0.864 0.823 1.218
2023-09-28 GenFlow-MultiHypo16 RGB-D 0.833 0.801 0.882 0.816 26.906
2023-11-18 SAM6D RGB-D 0.828 0.817 0.854 0.812 1.535
2023-11-30 GigaPose+GenFlow+kabsch (5 hypothesis) RGB-D 0.825 0.791 0.876 0.808 9.206
2023-09-25 GenFlow-MultiHypo RGB-D 0.818 0.790 0.865 0.799 16.695
2023-09-22 GenFlow-MultiHypo RGB-D 0.818 0.789 0.865 0.799 16.726
2024-03-04 SAM6D-CNOSfastSAM RGB-D 0.815 0.799 0.841 0.805 1.068
2023-09-28 SAM6D-BOP2023-CNOSmask RGB-D 0.804 0.782 0.841 0.788 3.440
2024-03-04 SAM6D-ZeroPose RGB-D 0.792 0.775 0.818 0.781 4.833
2024-07-16 GZS6D-BP(coarse+refine+teaser) (coarse+refine+teaser) RGB-D 0.772 0.716 0.748 0.852 5.884
2023-09-27 Megapose-CNOS_fastSAM+Multihyp_Teaserpp RGB-D 0.764 0.743 0.802 0.748 81.351
2023-09-27 Megapose-CNOS_fastSAM+Multihyp_Teaserpp-10 RGB-D 0.764 0.743 0.801 0.746 100.035
2024-07-20 GZS6D-BP(coarse+refine) RGB-D 0.758 0.694 0.742 0.837 4.984
2024-11-22 Co-op (F3DT2D, 5 Hypo) (BOP 2024) RGB 0.697 0.583 0.663 0.846 2.922
2024-01-27 FoundPose+FeatRef+Megapose-5hyp (FoundPose+FeatRef+Megapose-5hyp) RGB 0.690 0.602 0.670 0.797 8.938
2024-11-22 Co-op (CNOS, 5 Hypo) (BOP 2024) RGB 0.689 0.578 0.654 0.834 3.003
2024-11-20 OPFormer-Megapose refinement (CNOS) RGB 0.670 0.582 0.642 0.786 1.209
2024-11-22 Co-op (CNOS, 1 Hypo) (BOP 2024) RGB 0.670 0.565 0.635 0.809 1.110
2024-08-04 GigaPose (Concat) + Megapose (5 hypothesis) (GigaPose (Concat/Edge)) RGB 0.666 0.574 0.642 0.782 11.885
2024-08-04 GigaPose (Add) + Megapose (5 hypothesis) (GigaPose (Add/Edge)) RGB 0.666 0.574 0.642 0.781 6.670
2024-11-29 TF6D (Default, CNOS) + Megapose (5 hypothesis) (TF6D (CNOS) + Megapose (5 hypothesis)) RGB 0.665 0.574 0.641 0.781 2.988
2024-08-06 GigaPose (Concat) + Megapose (5 hypothesis) (GigaPose (Concat/Edge+Harris)) RGB 0.661 0.570 0.638 0.777 8.366
2024-08-06 GigaPose (Add) + Megapose (5 hypothesis) (GigaPose (Add/Edge+Harris)) RGB 0.661 0.570 0.638 0.776 8.293
2024-02-28 GigaPose+MegaPose (5 hypothesis) RGB 0.661 0.570 0.637 0.777 8.491
2024-08-06 GigaPose (Add) + Megapose (5 hypothesis) (GigaPose (Add/Harris)) RGB 0.661 0.570 0.637 0.776 6.401
2024-01-29 FoundPose+FeatRef+Megapose (FoundPose+FeatRef+Megapose) RGB 0.661 0.582 0.640 0.761 2.738
2024-01-29 FoundPose+MegaPose (FoundPose+MegaPose) RGB 0.661 0.581 0.641 0.760 1.961
2023-09-26 ZeroPose-Multi-Hypo-Refinement-DefaultSeg RGB-D 0.653 0.765 0.625 0.568 12.626
2023-11-30 GigaPose+GenFlow (5 hypothesis) RGB 0.652 0.545 0.622 0.788 8.764
2023-10-18 GenFlow-MultiHypo16-RGB RGB 0.642 0.540 0.617 0.770 31.504
2023-09-21 GenFlow-MultiHypo-RGB RGB 0.633 0.536 0.608 0.754 16.166
2023-09-26 GenFlow-MultiHypo-RGB RGB 0.632 0.535 0.607 0.755 16.191
2024-02-28 GigaPose+MegaPose (1 hypothesis) RGB 0.632 0.556 0.606 0.734 1.561
2024-09-03 Co-op (CNOS, Coarse) (coarse only) RGB 0.626 0.516 0.581 0.781 0.497
2023-09-26 ZeroPose-Multi-Hypo-Refinement RGB-D 0.623 0.719 0.600 0.550 15.430
2023-09-26 Megapose-CNOS_fastSAM+MultiHyp RGB 0.621 0.535 0.598 0.730 36.490
2023-09-26 Megapose-CNOS_fastSAM+MultiHyp-10 RGB 0.620 0.535 0.597 0.728 41.035
2024-10-16 GenFlow RGB 0.619 0.521 0.588 0.749 8.116
2023-09-26 PoZe-CNOS RGB-D 0.611 0.782 0.551 0.500 160.084
2024-11-02 GigaPose+GenFlow (1 hypothesis) RGB 0.608 0.518 0.574 0.732 1.743
2024-11-20 OPFormer-Coarse (CNOS) RGB 0.606 0.520 0.579 0.718 0.400
2023-09-04 MegaPose-CNOS_fastSAM RGB 0.601 0.521 0.578 0.705 25.954
2024-11-29 TF6D (Default, CNOS) (TF6D (CNOS)) RGB 0.541 0.450 0.511 0.661 1.723
2024-01-29 FoundPose+FeatRef (FoundPose+FeatRef) RGB 0.497 0.388 0.440 0.664 2.199
2023-11-12 SMC-1.0s-CNOS D 0.454 0.654 0.381 0.328 5.266
2024-01-28 FoundPose-Coarse (FoundPose-Coarse) RGB 0.452 0.350 0.411 0.596 1.409
2023-11-12 SMC-0.5s-CNOS D 0.403 0.621 0.321 0.266 2.624
2023-08-22 ZeroPose-One-Hypo RGB-D 0.341 0.382 0.347 0.294 6.593
2023-11-02 MegaPose-CNOS_fastSAM+CoarseBest RGB 0.281 0.204 0.265 0.375 12.676
2024-02-28 GigaPose RGB 0.278 0.173 0.209 0.454 0.297
2023-09-18 GenFlow-coarse RGB 0.277 0.183 0.266 0.382 2.853
2023-09-26 GenFlow-coarse RGB 0.277 0.181 0.265 0.384 2.909

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