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Facial Landmark Detection on CHARLOTTE High 1.0

0.0639NME (W/H)Star
0.0565520.1061510.155750.205349Aug 27, 2024

Evaluation results

MethodLinks
StarTraining Dataset=300W†, Pre-processing=RGB pre-processing stack [13]2024.080.06390
GLL-SW SparseTraining Dataset=FAKE + T-FAKE, Confidence threshold=sigma < 2.2e-42024.080.06616.52
GLL-SW SparseTraining Dataset=FAKE + T-FAKE, Confidence threshold=sigma < 6e-42024.080.06710.98
GLL-SW SparseTraining Dataset=FAKE + T-FAKE, Confidence threshold=sigma < infinity2024.080.0683—
StarTraining Dataset=300W†, Pre-processing=None2024.080.07070
YOLO5FaceTraining Dataset=TFW2024.080.078713.14
3FabRecTraining Dataset=300W†, Pre-processing=RGB pre-processing stack [13]2024.080.08140
GLL-SW DenseTraining Dataset=FAKE + T-FAKE, Confidence threshold=sigma < infinity2024.080.0854—
3FabRecTraining Dataset=300W†, Pre-processing=None2024.080.09310
GLL-SWTraining Dataset=FAKE, Pre-processing=RGB pre-processing stack [13], Confidence threshold=sigma < infinity2024.080.09330
FATraining Dataset=LS3D-W†, Pre-processing=RGB pre-processing stack [13]2024.080.10070.83
GLL-SWTraining Dataset=FAKE†, Confidence threshold=sigma < infinity2024.080.10550
FATraining Dataset=LS3D-W†, Pre-processing=None2024.080.10712.95
MediapipeTraining Dataset=undisclosed†, Pre-processing=RGB pre-processing stack [13]2024.080.1412.8
DANTraining Dataset=AACHEN2024.080.167749.32
MediapipeTraining Dataset=undisclosed, Pre-processing=None2024.080.1925.05
DlibTraining Dataset=SF-TL542024.080.215929.29
U-Net+WingTraining Dataset=SF-TL542024.080.247629.29