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Face Detection On Fddb

Metrics

AP

Results

Performance results of various models on this benchmark

Paper Title
DSFD0.991DSFD: Dual Shot Face Detector
Face R-FCN0.990Detecting Faces Using Region-based Fully Convolutional Networks
SRN0.988Selective Refinement Network for High Performance Face Detection
PyramidBox0.987PyramidBox: A Context-assisted Single Shot Face Detector
S3FD0.983S$^3$FD: Single Shot Scale-invariant Face Detector
LFFD0.973LFFD: A Light and Fast Face Detector for Edge Devices
FaceBoxes0.960-
HyperFace0.901HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
DPM0.864A Fast and Accurate Unconstrained Face Detector
IFQ-Tinier-YOLO(k=2)0.84IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision
Condensation-Net-Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps
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