Name
Abstract | ||
|---|---|---|
•A stacked regression network for fast, robust and accurate 3D hand pose estimation is proposed.•A pose re-parameterization is adopted to utilize the 3D spatial structure of hand.•A spatial attention module is adopted to reduce the influence of irrelevant features.•A cross-stage self-distillation module is adopted to achieve a lightweight network. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2021.01.045 | Neurocomputing |
Keywords | DocType | Volume |
3D hand pose estimation,Depth image,Knowledge distillation | Journal | 437 |
ISSN | Citations | PageRank |
0925-2312 | 1 | 0.35 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pengfei Ren | 1 | 1 | 1.70 |
| Haifeng Sun | 2 | 68 | 27.77 |
| Weiting Huang | 3 | 1 | 1.03 |
| Jiachang hao | 4 | 1 | 1.70 |
| Daixuan Cheng | 5 | 1 | 0.35 |
| Qi Qi | 6 | 210 | 56.01 |
| J. Wang | 7 | 479 | 95.23 |
| Jianxin Liao | 8 | 457 | 82.08 |