NME: 2.83
Papers with Code · CC BY-SA 4.0
Facial Landmark Detection
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>
논문
Mean NME : 3.72
Mean NME : 0.80Mean NME: 0.80NME: 0.80
NME (inter-ocular): 3.75AUC@10 (inter-ocular): 63.7FR@10 (inter-ocular): 1.76NME: 3.75
NME: 5.76
keypoint AP: 75.4
Mean NME : 1.85
AUC0.08 private: 59.39
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
Mean NME : 3.49
NME: 3.24
NME: 3.31
NME: 3.3
NME: 3.30
NME: 3.13
GTE: 7.28
NME: 6.30
NME: 2.99