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 | 3DDFA | NME | 7.01 | — | Unverified |
| 2 | Pose-Invariant | NME | 6.3 | — | Unverified |
| 3 | CFSS | NME | 5.76 | — | Unverified |
| 4 | SAN GT | NME | 3.98 | — | Unverified |
| 5 | TS3 | NME | 3.49 | — | Unverified |
| 6 | Adaloss | NME | 3.31 | — | Unverified |
| 7 | CHR2C (Inter-ocular Norm) | NME | 3.3 | — | Unverified |
| 8 | CNN-CRF (Inter-ocular Norm) | NME | 3.3 | — | Unverified |
| 9 | DCFE (Inter-ocular Norm) | NME | 3.24 | — | Unverified |
| 10 | 3DDE (Inter-ocular Norm) | NME | 3.13 | — | Unverified |