Face Detection on WiderFace (test)
96.7AP (easy)ASFD-D6
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| ASFD-D6Backbone=ResNet-152, TTA=true2020.11 | 96.7 | 96.2 | 92.1 | — | — | — | |
| ASFD-D6Pose?=No2020.12 | 96.7 | 96.2 | 92.1 | — | — | — | |
| RefineFaceBackbone=ResNet-152, TTA=true2020.11 | 96.6 | 95.8 | 91.4 | — | — | — | |
| AInnoFaceBackbone=ResNet-152, TTA=true2020.11 | 96.5 | 95.7 | 91.2 | — | — | — | |
| RetinaFaceBackbone=R-152, Pose?=Yes (requires PnP)2020.12 | 96.5 | 95.8 | 91.4 | — | — | — | |
| RetinaFaceBackbone=ResNet-152, TTA=true2020.11 | 96.3 | 95.6 | 91.4 | — | — | — | |
| DSFD-ResNet152Backbone=ResNet152, # Params=459 M2019.06 | 96 | 95.3 | 90 | — | — | — | |
| DSFDBackbone=R-50, Pose?=No2020.12 | 96 | 95.3 | 90 | — | — | — | |
| DSFDTraining Dataset=WIDER FACE2019.04 | 96 | 95.3 | 90 | — | — | — | |
| HAMBoxBackbone=ResNet-50, TTA=true2020.11 | 95.9 | 95.5 | 92.3 | — | — | — | |
| SRNBackbone=R-50, Pose?=No2020.12 | 95.9 | 94.9 | 89.7 | — | — | — | |
| TinaFaceBackbone=ResNet-50, TTA=true2020.11 | 95.8 | 95.3 | 92.4 | — | — | — | |
| PyramidBoxBackbone=VGG-16, # Params=57 M, # Madds (G)=1292019.06 | 95.6 | 94.6 | 88.7 | — | — | — | |
| PyramidBox++Backbone=R-50, Pose?=No2020.12 | 95.6 | 95.2 | 90.9 | — | — | — | |
| TinaFaceBackbone=ResNet-50, TTA=false2020.11 | 95.2 | 94.7 | 92.1 | — | — | — | |
| CSPTraining Dataset=WIDER FACE2019.04 | 94.9 | 94.4 | 89.9 | — | — | — | |
| FAN2017.11 | 94.6 | 93.6 | 88.5 | — | — | — | |
| S3FDBackbone=VGG-16, # Params=22 M, # Madds (G)=1282019.06 | 93.7 | 92.5 | 85.8 | — | — | — | |
| SFD2017.11 | 93.5 | 92.1 | 85.8 | — | — | — | |
| SSH2017.11 | 92.7 | 91.5 | 84.4 | — | — | — | |
| HR2017.11 | 92.3 | 91 | 81.9 | — | — | — | |
| EXTD-FPN-64-PReLU# Params=0.16 M, # Madds (G)=11.22019.06 | 91.2 | 90.3 | 85 | — | — | — | |
| CMS-RCNN2017.11 | 90.2 | 87.4 | 64.3 | — | — | — | |
| Luo et al.Pose?=No2020.12 | 90.2 | 87.8 | 52.8 | — | — | — | |
| img2poseBackbone=R-18, Pose?=Yes2020.12 | 90 | 89.1 | 83.9 | — | — | — | |
| LFFDPose?=No2020.12 | 89.6 | 86.5 | 77 | — | — | — | |
| FaceboxesPose?=No2020.12 | 88.1 | 85.3 | 77.4 | — | — | — | |
| ScaleFaces2017.11 | 86.7 | 86.6 | 76.4 | — | — | — | |
| MT-CNN2017.11 | 85.1 | 82 | 60.7 | — | — | — | |
| FastFacePose?=No2020.12 | 83.3 | 79.6 | 60.3 | — | — | — | |
| LDCF+2017.11 | 79.7 | 77.2 | 56.4 | — | — | — | |
| Faceness2017.11 | 71.6 | 60.4 | 31.5 | — | — | — | |
| ACF2017.11 | 69.5 | 58.8 | 29 | — | — | — | |
| DSFDEvaluation protocol=off-the-shelf2026.06 | — | — | — | — | 99 | 76 | |
| Faster RCNNTraining Regime=Few-Shot Transfer, Specific Modules=ResNet, RPN, Examples Num=42024.03 | — | — | — | 25.6 | — | — | |
| GiT-B multi-taskTraining Regime=Few-Shot Transfer, Specific Modules=None, Examples Num=12024.03 | — | — | — | 17.4 | — | — | |
| GiT-B universalTraining Regime=Few-Shot Transfer, Specific Modules=None, Examples Num=12024.03 | — | — | — | 31.2 | — | — | |
| GiT-H universalTraining Regime=Few-Shot Transfer, Specific Modules=None, Examples Num=12024.03 | — | — | — | 34 | — | — | |
| GiT-L universalTraining Regime=Few-Shot Transfer, Specific Modules=None, Examples Num=12024.03 | — | — | — | 33.4 | — | — | |
| InfantFaceEvaluation protocol=pre-domain adaptation2026.06 | — | — | — | — | 80 | 57 | |
| MTCNNEvaluation protocol=off-the-shelf2026.06 | — | — | — | — | 98 | 62 | |
| RetinaFaceTraining Regime=Supervised, Specific Modules=ResNet, FPN, Examples Num=52024.03 | — | — | — | 18 | — | — | |
| SCRFDEvaluation protocol=off-the-shelf2026.06 | — | — | — | — | 100 | 76 |