Hand Pose Estimation On Msra Hands
평가 지표
Average 3D Error
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Average 3D Error |
|---|---|
| pose-guided-structured-region-ensemble | 8.6 |
| trihorn-net-a-model-for-accurate-depth-based | 7.13 |
| awr-adaptive-weighting-regression-for-3d-hand | 7.15 |
| v2v-posenet-voxel-to-voxel-prediction-network | 7.49 |
| shpr-net-deep-semantic-hand-pose-regression | 7.76 |
| deepprior-improving-fast-and-accurate-3d-hand | 9.5 |
| region-ensemble-network-improving | 9.8 |
| pushing-the-envelope-for-depth-based-semi | 7.18 |
| handfoldingnet-a-3d-hand-pose-estimation | 7.34 |
| dense-3d-regression-for-hand-pose-estimation | 7.2 |
| pixel-wise-regression-3d-hand-pose-estimation | 7.985 |