Model-based 2D detection of unseen objects – HOPEv2

This leaderbord shows the ranking for Model-based 2D detection of unseen objects on HOPEv2. The reported time is the average time to generate predictions for all objects in a single image (averaged over the datasets).

Date (UTC) Submission Test image AP AP50 AP75 APS APM APL AR1 AR10 AR100 ARS ARM ARL Time (s)
2025-11-14 3PT-Detection (Nov 2025) RGB 0.624 0.773 0.725 0.100 0.230 0.694 0.608 0.698 0.698 0.100 0.267 0.772 4.536
2025-10-01 3PT-Detection (f.k.a IPT) RGB 0.618 0.763 0.716 0.100 0.217 0.689 0.603 0.683 0.683 0.100 0.240 0.761 40.402
2025-08-26 MUSE (muse_full) RGB 0.460 0.636 0.504 0.111 0.107 0.533 0.471 0.528 0.528 0.111 0.142 0.607 0.995
2024-09-19 CNOS (FastSAM) (Pyrender) RGB 0.313 0.502 0.320 0.089 0.040 0.361 0.368 0.430 0.430 0.089 0.092 0.491 0.421

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