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Face Detection
Face Detection On Wider Face Hard
Face Detection On Wider Face Hard
Metrics
AP
Results
Performance results of various models on this benchmark
Columns
Model Name
AP
Paper Title
Repository
img2pose
0.839
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
MogFace (HCAM)
0.874
MogFace: Towards a Deeper Appreciation on Face Detection
DupNet-L+PACT
0.906
DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection
-
FDNet
0.896
Face Detection Using Improved Faster RCNN
-
AInnoFace
0.912
Accurate Face Detection for High Performance
-
MogFace (Ali-AMS)
0.873
MogFace: Towards a Deeper Appreciation on Face Detection
+ DH + HIM
0.897
Robust Face Detection via Learning Small Faces on Hard Images
Face R-FCN
0.876
Detecting Faces Using Region-based Fully Convolutional Networks
RetinaFace+Lpts+Lpixel
0.91857
RetinaFace: Single-stage Dense Face Localisation in the Wild
WSMA-Seg
0.8723
Segmentation is All You Need
-
FD-CNN
0.51
Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining
-
Poly-NL(ResNet-50)
0.9276
Poly-NL: Linear Complexity Non-local Layers with Polynomials
-
Two-stage CNN
0.304
WIDER FACE: A Face Detection Benchmark
PyramidBox
0.889
PyramidBox: A Context-assisted Single Shot Face Detector
Multiscale Cascade CNN
0.400
WIDER FACE: A Face Detection Benchmark
RNNPool-Face-C
0.70
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
ASFD-D6
0.925
ASFD: Automatic and Scalable Face Detector
-
SCRFD-34GF
0.8529
Sample and Computation Redistribution for Efficient Face Detection
YOLOv5s
0.828
YOLO5Face: Why Reinventing a Face Detector
MSCNN
0.809
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
0 of 40 row(s) selected.
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