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.
( Image credit: Style Aggregated Network for Facial Landmark Detection )
Papers
Showing 1–10 of 139 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | HPRNet (Hourglass-104) | keypoint AP | 75.4 | — | Unverified |
| 2 | HPRNet (DLA) | keypoint AP | 74.6 | — | Unverified |
| 3 | HPRNet (Hourglass-104) | keypoint AP | 59.4 | — | Unverified |
| 4 | HPRNet (DLA) | keypoint AP | 55.2 | — | Unverified |
| 5 | HPRNet (Hourglass-104) | keypoint AP | 50.4 | — | Unverified |
| 6 | HPRNet (DLA) | keypoint AP | 47 | — | Unverified |