Camera Pose Estimation on ShapeNet (test)
9.34Airplane Metric2D-3D self-consistency framework (Semi)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| 2D-3D self-consistency framework (Semi)Supervision type=Semi-supervised, Input configuration=Single-view image, Training data ratio=15% labeled and 85% unlabeled data2018.11 | 9.34 | 6.24 | — | — | |
| 2D-3D self-consistency framework (Sup)Supervision type=Supervised, Input configuration=Single-view image, Training data ratio=15% labeled data2018.11 | 11.24 | 9.82 | — | — | |
| MVCInput configuration=Multi-view images2018.11 | 35.1 | 9.41 | — | — | |
| [28]2019.05 | — | — | 0.073 | 4.86 | |
| DISN2019.05 | — | — | 0.047 | 2.95 |