RetinaFace: Single-stage Dense Face Localisation in the Wild
2019-05-02Code Available1· sign in to hype
Jiankang Deng, Jia Guo, Yuxiang Zhou, Jinke Yu, Irene Kotsia, Stefanos Zafeiriou
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/deepinsight/insightfaceOfficialIn paperpytorch★ 28,160
- github.com/serengil/deepfacetf★ 22,440
- github.com/biubug6/Pytorch_Retinafacepytorch★ 2,943
- github.com/serengil/retinafacetf★ 1,948
- github.com/tomas-gajarsky/facetorchpytorch★ 607
- github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetectionnone★ 110
- github.com/yakhyo/retinaface-pytorchpytorch★ 64
- github.com/sithu31296/EasyFacepytorch★ 37
- github.com/jung-jun-uk/mixfacepytorch★ 11
- github.com/barisbatuhan/FaceDetectorpytorch★ 8
Abstract
Face Analysis Project on MXNet
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| WIDER Face (Easy) | RetinaFace+Lpts+Lpixel | AP | 0.97 | — | Unverified |
| WIDER Face (Hard) | RetinaFace+Lpts+Lpixel | AP | 0.92 | — | Unverified |
| WIDER Face (Medium) | RetinaFace+Lpts+Lpixel | AP | 0.96 | — | Unverified |