Facial Landmark Detection on CHARLOTTE High 1.0
0.0639NME (W/H)Star
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| StarTraining Dataset=300W†, Pre-processing=RGB pre-processing stack [13]2024.08 | 0.0639 | 0 | |
| GLL-SW SparseTraining Dataset=FAKE + T-FAKE, Confidence threshold=sigma < 2.2e-42024.08 | 0.0661 | 6.52 | |
| GLL-SW SparseTraining Dataset=FAKE + T-FAKE, Confidence threshold=sigma < 6e-42024.08 | 0.0671 | 0.98 | |
| GLL-SW SparseTraining Dataset=FAKE + T-FAKE, Confidence threshold=sigma < infinity2024.08 | 0.0683 | — | |
| StarTraining Dataset=300W†, Pre-processing=None2024.08 | 0.0707 | 0 | |
| YOLO5FaceTraining Dataset=TFW2024.08 | 0.0787 | 13.14 | |
| 3FabRecTraining Dataset=300W†, Pre-processing=RGB pre-processing stack [13]2024.08 | 0.0814 | 0 | |
| GLL-SW DenseTraining Dataset=FAKE + T-FAKE, Confidence threshold=sigma < infinity2024.08 | 0.0854 | — | |
| 3FabRecTraining Dataset=300W†, Pre-processing=None2024.08 | 0.0931 | 0 | |
| GLL-SWTraining Dataset=FAKE, Pre-processing=RGB pre-processing stack [13], Confidence threshold=sigma < infinity2024.08 | 0.0933 | 0 | |
| FATraining Dataset=LS3D-W†, Pre-processing=RGB pre-processing stack [13]2024.08 | 0.1007 | 0.83 | |
| GLL-SWTraining Dataset=FAKE†, Confidence threshold=sigma < infinity2024.08 | 0.1055 | 0 | |
| FATraining Dataset=LS3D-W†, Pre-processing=None2024.08 | 0.107 | 12.95 | |
| MediapipeTraining Dataset=undisclosed†, Pre-processing=RGB pre-processing stack [13]2024.08 | 0.14 | 12.8 | |
| DANTraining Dataset=AACHEN2024.08 | 0.1677 | 49.32 | |
| MediapipeTraining Dataset=undisclosed, Pre-processing=None2024.08 | 0.19 | 25.05 | |
| DlibTraining Dataset=SF-TL542024.08 | 0.2159 | 29.29 | |
| U-Net+WingTraining Dataset=SF-TL542024.08 | 0.2476 | 29.29 |