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SotA/Computer Vision/Facial Landmark Detection

Facial Landmark Detection

29 benchmarks139 papers

Facial Landmark Detection is a computer vision task that involves detecting and localizing specific points or landmarks on a face, such as the eyes, nose, mouth, and chin. The goal is to accurately identify these landmarks in images or videos of faces in real-time and use them for various applications, such as face recognition, facial expression analysis, and head pose estimation.

<span style="color:grey; opacity: 0.6">( Image credit: Style Aggregated Network for Facial Landmark Detection )</span>

Benchmarks

Facial Landmark Detection on 300W

NMEMean Error Rate

Facial Landmark Detection on H3WB

Average MPJPE (mm)

Facial Landmark Detection on MAFL

NME

Facial Landmark Detection on MAFL Unaligned

NME

Facial Landmark Detection on AFLW (Zhang CVPR 2018 crops)

NME

Facial Landmark Detection on AFLW Unaligned

NME

Facial Landmark Detection on AFLW-Full

Mean NME Mean NMENME

Facial Landmark Detection on AFLW-MTFL

NME

Facial Landmark Detection on CatFLW

NME

Facial Landmark Detection on 300-VW (C)

AUC0.08 private

Facial Landmark Detection on 300W (Full)

Mean NME

Facial Landmark Detection on AFLW-Front

Mean NMEMean NME NME

Facial Landmark Detection on AFLW2000-3D

GTE

Facial Landmark Detection on COCO-WholeBody

keypoint AP

Facial Landmark Detection on WFLW

NMENME (inter-ocular)AUC@10 (inter-ocular)FR@10 (inter-ocular)

Facial Landmark Detection on 3DFAW

CVGTCEGTE

Facial Landmark Detection on COFW

NME (inter-pupil)NME (inter-ocular)NME

Facial Landmark Detection on Urban Hyperspectral Image

10°5 cm