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Papers Benchmarks Datasets Tasks

Facial Landmark Localization research benchmarks · SOTA2 Research

Facial Landmark Localization

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

300-W (Full set)

2.83NME

46

Feb 26, 2026

4.58NME (%)

44

Feb 26, 2026

300-W (Challenging set)

3.36NME

32

Feb 26, 2026

2.33NME

20

Feb 26, 2026

2.82NME (Inter-ocular)

14

May 13, 2026

Subpixel Heatmap Regression (Ours)

0.03NME_ic

14

Feb 26, 2026

Subpixel Heatmap Regression

1.12NME diag

14

Feb 26, 2026

300W Full (Split II)

2.94NME (Inter-ocular)

14

Feb 26, 2026

300W Challenge (Split II)

4.13NME (Inter-ocular)

14

Feb 26, 2026

300W Common (Split II)

2.61NME (Inter-ocular)

14

Feb 26, 2026

1.18NME (Diagonal)

9

May 13, 2026

300W inter-ocular (Split II)

2.61Error (Common)

8

Feb 26, 2026

Menpo 2D Frontal (test)

local-softargmax

1.95NMEbox

6

Feb 26, 2026

300W Split I (test)

local-softargmax

2.04NME (Box)

6

Feb 26, 2026

60.7AUC@0.1

6

Feb 26, 2026

300-VW Category C (Scenario 3)

Bulat et al. (local-softargmax + Siamese training)

5.84NMEic

5

Feb 26, 2026

2.1Mean Error (%)

5

Feb 26, 2026

3.01NME

3

Feb 26, 2026

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