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 | ELD (MobileNetV2) | NME | 3.09 | — | Unverified |
| 2 | ELD (EfficientNetV2B0) | NME | 2.98 | — | Unverified |
| 3 | ELD (EfficientNetV2S) | NME | 2.83 | — | Unverified |