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Face Detection
Face Detection On Fddb
Face Detection On Fddb
Metrics
AP
Results
Performance results of various models on this benchmark
Columns
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
FaceBoxes: A CPU Real-time Face Detector with High Accuracy
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
0 of 11 row(s) selected.
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