Model-based 6D detection of unseen objects – IPD

This leaderbord shows the ranking for Model-based 6D detection of unseen objects on IPD. The reported time is the average time to generate predictions for all objects in a single image (averaged over the datasets).

Date (UTC) Submission Views Test image AP APMSSD APMSPD Time (s)
2025-11-14 3PT-Pose (Nov 2025) Multi RGB 0.984 0.983 0.986 24.516
2025-09-29 FRTPose-WAPR.v2(Multi View) Multi RGB-D 0.926 0.891 0.961 93.013
2025-10-01 3PT-Pose-Industrial (f.k.a. IPT) Multi RGB 0.923 0.914 0.933 160.481
2025-06-01 FRTPose-WAPR(Multi Cam) Multi RGB-D 0.918 0.881 0.954 198.809
2025-09-30 FRTPose-WAPR.v2(Default Detection) Single RGB-D 0.608 0.596 0.621 27.400
2025-06-01 FRTPose-WAPR(Default Detection) Single RGB-D 0.583 0.567 0.599 75.059
2025-10-01 FRTPose-WAPR.v2(SAM6D / MUSE) (sam6d 0.4) Single RGB-D 0.537 0.526 0.547 0.931
2025-07-17 MatchU Single RGB-D 0.520 0.475 0.566 -1.000
2025-10-01 mask matcher (Flanders Make) Multi RGB-D 0.496 0.364 0.628 41.170
2025-05-30 FRTPose-WAPR(SAM6D / MUSE) Single RGB-D 0.481 0.469 0.493 0.764
2025-10-01 mask matcher (Flanders Make) Multi RGB-D 0.474 0.353 0.595 41.319
2025-10-01 mask matcher Multi RGB-D 0.468 0.341 0.594 20.717
2025-05-31 FreeZeV2.2 Single RGB-D 0.439 0.419 0.459 7.201
2025-06-11 SAM6D(SAM) Single RGB-D 0.415 0.391 0.440 2.414
2025-06-12 FoundationPose(CNOS-SAM) Single RGB-D 0.408 0.392 0.424 19.021

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

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