This leaderbord shows the ranking for Model-based 2D segmentation of unseen objects on HOPE. 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) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024-04-25 | CNOS (FastSAM) (FastSAM) | RGB | 0.325 | 0.591 | 0.328 | 0.000 | 0.078 | 0.339 | 0.351 | 0.423 | 0.423 | 0.000 | 0.120 | 0.439 | 0.470 |
Tip: Hover over the numbers to see more decimal places.