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Model Zoo

JiankangDeng edited this page Jul 31, 2018 · 18 revisions

InsightFace Model Zoo

1. Face Detection models.

SSH model on BaiduDrive and Dropbox

Evaluation on WIDER FACE:

Impelmentation Easy-Set Medium-Set Hard-Set Speed
MTCNN 0.851 0.820 0.607 CPU realtime
Original Caffe SSH 0.93123 0.92106 0.84582 GPU realtime
Our SSH Model 0.93489 0.92281 0.84525 GPU realtime

2. Face Alignment models.

2.1 2D Face Alignment

2.2 3D Face Alignment

2.3 Dense Face Alignment

3. Face Recognition models.

3.1 LResNet100E-IR,ArcFace@ms1m-refine-v2

BaiduDrive and Dropbox

Performance:

Method LFW(%) CFP-FP(%) AgeDB-30(%) MegaFace(%)
Ours 99.77 98.27 98.28 98.47

3.2 LResNet50E-IR,ArcFace@ms1m-refine-v1

BaiduDrive and Dropbox

Performance:

Method LFW(%) CFP-FP(%) AgeDB-30(%) MegaFace(%)
Ours 99.80 92.74 97.76 97.64

3.3 LResNet34E-IR,ArcFace@ms1m-refine-v1

BaiduDrive and Dropbox

Performance:

Method LFW(%) CFP-FP(%) AgeDB-30(%) MegaFace(%)
Ours 99.65 92.12 97.70 96.70

3.4 MobileFaceNet,ArcFace@ms1m-refine-v1

BaiduDrive and Dropbox

Performance:

Method LFW(%) CFP-FP(%) AgeDB-30(%) MegaFace(%)
Ours 99.50 88.94 95.91 -----

4. Face Attribute models.

4.1 Gender&Age

ResNet50x2 trained on Asian dataset. BaiduDrive Dropbox

4.2 Expression

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