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Papers Benchmarks Datasets Tasks

AFLW dataset and benchmarks – Page 3 · SOTA2 Research

Research Datasets

AFLW

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

AFLW (test)

2.77NME ([0,30])

6

Facial Alignment

AFLW2000-3D reannotated (full set)

3.76NME (0-30 deg pitch)

5

3D Dense Face Alignment

AFLW2000-3D CSOD occlusion (test)

4.44NME

5

3D Face Alignment

AFLW2000-3D Dense

4.18NME (%)

5

Landmark Detection

AFLW (R)

6.31Inter-ocular Distance Error (%)

5

Landmark Regression

AFLW unaligned

13.13Mean Error

5

Head Pose Estimation

AFLW (5-fold cross-validation)

5.18MAE

5

Head Pose Estimation

AFLW2000 (|β| < 30°) 3D (test)

98.2Coverage (%)

4

Facial Texture Representation

AFLW2000-3D (full)

0.036Reconstruction Error (L2,1)

4

Head Pose Estimation

AFLW Kepler (test)

5.22Yaw Error

4

3D facial landmark localization

AFLW2000-3D

7.28GTE

2

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Popular tasks

Face Alignment Head Pose Estimation Facial Landmark Detection 3D Dense Face Alignment 3D facial landmark localization

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