Hand-Object Pose Estimation on HO3D v2 (test)
10.1STMJELiu et al.
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Liu et al.Co-trained with synthetic data=false2024.02 | 10.1 | 31.7 | — | — | — | — | — | — | |
| Hasson et al.Co-trained with synthetic data=false2024.02 | 11 | 31.8 | — | — | — | — | — | — | |
| Hasson et al.Co-trained with synthetic data=false2024.02 | 11.4 | 36.9 | — | — | — | — | 67 | 22 | |
| Hasson et al.Co-trained with synthetic data=false2024.02 | 12 | 26.8 | — | — | — | — | 80 | 40 | |
| HOISDFCo-trained with synthetic data=true2024.02 | 18.3 | 19 | — | — | — | 9.2 | 35.5 | 14.4 | |
| HOMAE2025.06 | 20.5 | 21.8 | — | — | — | 9.8 | 39.3 | 14.2 | |
| GenHOI2026.03 | 21.1 | 21.3 | — | — | — | 9.9 | 35.9 | 13.4 | |
| HOISDFCo-trained with synthetic data=false2024.02 | 22.8 | 23.6 | — | — | — | 9.6 | 48.5 | 17.8 | |
| HOISDF2026.03 | 22.8 | 23.6 | — | — | — | 9.6 | 48.5 | 17.8 | |
| Qi et al.2025.06 | 22.8 | 23.6 | — | — | — | 9.6 | 48.5 | 17.8 | |
| LCP2026.03 | 23.7 | — | — | — | — | 8.9 | — | — | |
| Kuang et al.2025.06 | 23.7 | — | — | — | — | 8.9 | — | — | |
| Wang et al.Co-trained with synthetic data=true2024.02 | 23.8 | 22.2 | — | — | — | 10.1 | 45.5 | 20.8 | |
| Li et al.Co-trained with synthetic data=true2024.02 | 25.3 | 26.3 | — | — | — | 11.4 | — | — | |
| UniHOPE2026.03 | 25.5 | — | — | — | — | 9.6 | — | — | |
| Hampali et al.Co-trained with synthetic data=false2024.02 | 25.7 | 25.5 | — | — | — | 10.8 | 68 | 21.4 | |
| Hampali et al. [14]2026.03 | 25.7 | 25.5 | — | — | — | 10.8 | 68 | 21.4 | |
| Hampali et al.2025.06 | 25.7 | 25.5 | — | — | — | 10.8 | 68 | 21.4 | |
| Hasson et al. [16]2026.03 | 26.8 | — | — | — | — | 12 | 80 | 40 | |
| Hasson et al.2025.06 | 26.8 | — | — | — | — | 12 | 80 | 40 | |
| Lin et al.Co-trained with synthetic data=false2024.02 | 28.4 | 28.9 | — | — | — | 8.9 | 64.3 | 32.4 | |
| HFL-Net2026.03 | 28.4 | 28.9 | — | — | — | 8.9 | 64.3 | 32.4 | |
| Lin et al.2025.06 | 28.4 | 28.9 | — | — | — | 8.9 | 64.3 | 32.4 | |
| Liu et al. [26]2026.03 | 31.7 | — | — | — | — | 10.1 | — | — | |
| Liu et al.2025.06 | 31.7 | — | — | — | — | 10.1 | — | — | |
| Hasson et al. [17]2026.03 | 31.8 | — | — | — | — | 11 | — | — | |
| Hasson et al.2025.06 | 31.8 | — | — | — | — | 11 | — | — | |
| Hasson et al. [15]2026.03 | 36.9 | — | — | — | — | 11.4 | 67 | 22 | |
| Hasson et al.2025.06 | 36.9 | — | — | — | — | 11.4 | 67 | 22 | |
| Cai et al.2025.06 | — | — | — | — | — | 9.1 | — | — | |
| ClasSymmetry-aware model (sym)=true2021.09 | — | 3.1 | 4.07 | 6.56 | 8.7 | — | — | — | |
| ClasSymmetry-aware model (sym)=true, ArtiBoost synthetic data augmentation (+ Arti)=true2021.09 | — | 2.53 | 3.14 | 5.72 | 6.36 | — | — | — | |
| Hampali et al.Symmetry-aware model (sym)=true2021.09 | — | 2.57 | 4.41 | 6.03 | 9.08 | — | — | — |