BOP
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 6D Object Pose Estimation | BOP 7 core datasets: LM-O, T-LESS, TUD-L, IC-BIN, ITODD, HB, YCB-V 82 (test) | AR (LM-O)75.6 | 47 | |
| Pose Estimation | BOP benchmark 2019 (test) | LM-O AR78.8 | 43 | |
| 6D Object Pose Estimation | BOP Core Datasets Challenge (test) | LM-O Score80.5 | 42 | |
| 6D Pose Estimation | BOP challenge | LM-O79.2 | 39 | |
| 6D Object Pose Estimation | BOP challenge (test) | LM-O AR65.5 | 18 | |
| 6D Object Pose Estimation | BOP (T-LESS, ITODD, YCB-V, LM-O) Challenge (test) | LM-O Score68.5 | 13 | |
| 6D Pose Estimation | BOP Benchmark (test) | LM-O Score86.1 | 11 | |
| Instance Segmentation | BOP benchmark 2019 (test) | mAP (LM-O)46 | 11 | |
| Instance Segmentation | BOP (LM-O, TUD-L, YCB-V) bop23 (test) | mAP (LM-O)46 | 7 | |
| 6D Object Pose Estimation | BOP Benchmark LM-O YCB-V T-LESS Synthetic PBR data only 2023 (train) | LM-O BOP Score79.9 | 6 | |
| Object Detection | BOP core subsets (test) | LM-O46.6 | 5 | |
| 6D Object Pose Refinement | BOP datasets (YCB-V, LM-O) (test) | Timing (ms)17 | 5 | |
| 6 DoF Pose Estimation | BOP LINEMOD, Occlusion LINEMOD, YCB-Video | AR VSD (LMO)68 | 5 |
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