Hand Pose Estimation On Nyu Hands
評価指標
Average 3D Error
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 | Average 3D Error |
|---|---|
| region-ensemble-network-improving | 12.7 |
| towards-good-practices-for-deep-3d-hand-pose | 15.6 |
| a2j-transformer-anchor-to-joint-transformer | 8.43 |
| deepprior-improving-fast-and-accurate-3d-hand | 12.3 |
| a2j-anchor-to-joint-regression-network-for-3d | 8.61 |
| pixel-wise-regression-3d-hand-pose-estimation | 9.173 |
| pushing-the-envelope-for-depth-based-semi | 8.01 |
| mutr-multi-stage-transformer-for-hand-pose | 7.85 |
| trihorn-net-a-model-for-accurate-depth-based | 7.68 |
| pose-guided-structured-region-ensemble | 11.8 |
| v2v-posenet-voxel-to-voxel-prediction-network | 8.42 |
| awr-adaptive-weighting-regression-for-3d-hand | 7.48 |
| shpr-net-deep-semantic-hand-pose-regression | 9.37 |
| efficient-virtual-view-selection-for-3d-hand | 6.4 |
| dense-3d-regression-for-hand-pose-estimation | 10.2 |
| mutr-multi-stage-transformer-for-hand-pose | 8.71 |
| handfoldingnet-a-3d-hand-pose-estimation | 8.58 |