Papers › Towards Good Practices for Deep 3D Hand Pose Estimation
Towards Good Practices for Deep 3D Hand Pose Estimation
Hengkai Guo, Guijin Wang, Xinghao Chen, Cairong Zhang
3D hand pose estimation from single depth image is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with sophisticated design have been employed to address it, but the improvement over traditional random forest based methods is not so apparent. To exploit the good practice and promote the performance for hand pose estimation, we propose a tree-structured Region Ensemble Network (REN) for directly 3D coordinate regression. It first partitions the last convolution outputs of ConvNet into several grid regions. The results from separate fully-connected (FC) regressors on each regions are then integrated by another FC layer to perform the estimation. By exploitation of several training strategies including data augmentation and smooth L₁ loss, proposed REN can significantly improve the performance of ConvNet to localize hand joints. The experimental results demonstrate that our approach achieves the best performance among state-of-the-art algorithms on three public hand pose datasets. We also experiment our methods on fingertip detection and human pose datasets and obtain state-of-the-art accuracy.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Hand Pose Estimation | ICVL Hands | Tree Region Ensemble Network | Average 3D Error | 7.31 | #13 of 15 | Archive leaderboard | report |
| Hand Pose Estimation | NYU Hands | REN | Average 3D Error | 15.6 | #17 of 17 | Archive leaderboard | report |
| Pose Estimation | ITOP front-view | REN | Mean mAP | 84.9 | #6 of 7 | Archive leaderboard | report |
| Pose Estimation | ITOP top-view | REN | Mean mAP | 75.5 | #5 of 5 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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