Model-based 2D detection of unseen objects – HOPEv2

This leaderbord shows the ranking for Model-based 2D detection of unseen objects on HOPEv2. The metrics are defined in Section 2 of the BOP 2022 paper. 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)
2024-11-17 MUSE (full) RGB 0.474 0.652 0.519 0.100 0.109 0.547 0.488 0.554 0.554 0.100 0.138 0.637 1.536
2024-09-10 CNOS (SAM) (Pyrender) RGB 0.365 0.590 0.388 0.089 0.072 0.419 0.406 0.453 0.453 0.089 0.101 0.521 2.345
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

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

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