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>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
벤치마크
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Dataset기록된 모델 예시MetricPaperCode
데이터셋
20개논문
Mean NME : 3.72
keypoint AP: 75.4
NME (inter-ocular): 3.75AUC@10 (inter-ocular): 63.7FR@10 (inter-ocular): 1.76NME: 3.75
Mean NME : 0.80Mean NME: 0.80NME: 0.80
GTE: 7.28
Mean NME : 1.85
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
Mean NME : 3.49
라이브러리
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