Facial Landmark Detection on 300W (test)
0.0303NMEDTLD
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| DTLDProtocol=Unsupervised domain adaptation (UDA)2022.08 | 0.0303 | — | — | — | — | — | |
| DAG2022.08 | 0.0304 | — | — | — | — | — | |
| DTLDProtocol=Supervised training (ST)2022.08 | 0.0307 | — | — | — | — | — | |
| PIPNetProtocol=Unsupervised domain adaptation (UDA)2022.08 | 0.0335 | — | — | — | — | — | |
| PIPNetProtocol=Supervised training (ST)2022.08 | 0.0336 | — | — | — | — | — | |
| LAB2022.08 | 0.0349 | — | — | — | — | — | |
| AVSAuxiliary=SAN2022.08 | 0.0386 | — | — | — | — | — | |
| ODN2022.08 | 0.0417 | — | — | — | — | — | |
| CNN-CRF2020.10 | 2.21 | 68.1 | 0.17 | — | — | — | |
| SAN2020.10 | 2.86 | 59.7 | 1 | — | — | — | |
| CE-CLM2020.10 | 3.05 | 56.9 | 2.33 | — | — | — | |
| CFSS2020.10 | 3.09 | 56.7 | 1.83 | — | — | — | |
| TCDCN2020.10 | 4.15 | 42.1 | 4.83 | — | — | — | |
| CLNF2020.10 | 4.22 | 47.6 | 6.67 | — | — | — | |
| 3DDFA2020.10 | 6.9 | 20.6 | 30 | — | — | — | |
| ADNet2024.11 | — | — | — | 2.93 | 2.53 | 4.58 | |
| AS2024.11 | — | — | — | 3.86 | 3.21 | 6.46 | |
| AWing2024.11 | — | — | — | 3.07 | 2.72 | 4.52 | |
| D-ViT2024.11 | — | — | — | 2.85 | 2.43 | 4.56 | |
| DecaFA2024.11 | — | — | — | 3.39 | 2.93 | 5.26 | |
| DTLD2024.11 | — | — | — | 2.96 | 2.59 | 4.5 | |
| FAN2020.10 | — | 66.9 | — | — | — | — | |
| FRA2024.11 | — | — | — | 2.91 | 2.6 | 4.46 | |
| HIH2024.11 | — | — | — | 3.09 | 2.65 | 4.89 | |
| HRNet2024.11 | — | — | — | 3.32 | 2.87 | 5.15 | |
| LAB2024.11 | — | — | — | 3.49 | 2.98 | 5.19 | |
| LUVLI2024.11 | — | — | — | 3.23 | 2.76 | 5.16 | |
| SDL2024.11 | — | — | — | 3.04 | 2.62 | 4.77 | |
| SLPT2024.11 | — | — | — | 3.17 | 2.75 | 4.9 | |
| STAR2024.11 | — | — | — | 2.87 | 2.52 | 4.32 |