6D Pose Estimation Using Rgbd On Real275
評価指標
mAP 10, 2cm
mAP 10, 5cm
mAP 3DIou@50
mAP 3DIou@75
mAP 5, 2cm
mAP 5, 5cm
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | mAP 10, 2cm | mAP 10, 5cm | mAP 3DIou@50 | mAP 3DIou@75 | mAP 5, 2cm | mAP 5, 5cm |
|---|---|---|---|---|---|---|
| uda-cope-unsupervised-domain-adaptation-for | 56.9 | 66.0 | 82.6 | 62.5 | 30.4 | 34.8 |
| centersnap-single-shot-multi-object-3d-shape | - | 64.3 | 80.2 | - | - | 29.1 |
| bundletrack-6d-pose-tracking-for-novel | - | - | - | - | - | 87.4 |
| fs-net-fast-shape-based-network-for-category | - | 60.8 | 92.2 | 63.5 | - | 28.2 |
| generative-category-level-shape-and-pose | 64.2 | 76.3 | 79.0 | 65.3 | 46.9 | 54.7 |
| dualposenet-category-level-6d-object-pose-and | 50 | 66.8 | 79.8 | - | - | 35.9 |
| gpv-pose-category-level-object-pose | - | 73.3 | 83 | 64.4 | 32 | 42.9 |
| genpose-generative-category-level-object-pose | 72.4 | 84.0 | - | - | 52.1 | 60.9 |
| cppf-towards-robust-category-level-9d-pose | - | 44.9 | 26.4 | - | - | 16.9 |
| normalized-object-coordinate-space-for | - | 26.7 | 80.5 | - | - | 9.5 |
| 6-pack-category-level-6d-pose-tracker-with | - | - | - | - | - | 33.3 |