Face Detection On Fddb
Metrics
AP
Results
Performance results of various models on this benchmark
Model Name | AP | Paper Title | Repository |
|---|---|---|---|
| IFQ-Tinier-YOLO(k=2) | 0.84 | IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision | - |
| PyramidBox | 0.987 | PyramidBox: A Context-assisted Single Shot Face Detector | - |
| Condensation-Net | - | Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps | - |
| DPM | 0.864 | A Fast and Accurate Unconstrained Face Detector | - |
| S3FD | 0.983 | S$^3$FD: Single Shot Scale-invariant Face Detector | - |
| HyperFace | 0.901 | HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition | - |
| Face R-FCN | 0.990 | Detecting Faces Using Region-based Fully Convolutional Networks | - |
| FaceBoxes | 0.960 | - | - |
| DSFD | 0.991 | DSFD: Dual Shot Face Detector | - |
| SRN | 0.988 | Selective Refinement Network for High Performance Face Detection | - |
| LFFD | 0.973 | LFFD: A Light and Fast Face Detector for Edge Devices | - |
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