3D Face Reconstruction on Trillion Pairs Dataset

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	SV-AM-Softmax	73.56	No	Support Vector Guided Softmax Loss for Face Reco...	2018-12-29	Code
2	SV-AM-Softmax	72.71	No	Support Vector Guided Softmax Loss for Face Reco...	2018-12-29	Code
3	AM-Softmax	61.8	No	Additive Margin Softmax for Face Verification	2018-01-17	Code
4	AM-Softmax	61.61	No	Additive Margin Softmax for Face Verification	2018-01-17	Code
5	Arc-Softmax	57.48	No	ArcFace: Additive Angular Margin Loss for Deep F...	2018-01-23	Code
6	Arc-Softmax	57.45	No	ArcFace: Additive Angular Margin Loss for Deep F...	2018-01-23	Code
7	A-Softmax	43.89	No	SphereFace: Deep Hypersphere Embedding for Face ...	2017-04-26	Code
8	A-Softmax	43.76	No	SphereFace: Deep Hypersphere Embedding for Face ...	2017-04-26	Code
9	F-Softmax	39.8	No	Focal Loss for Dense Object Detection	2017-08-07	Code
10	F-Softmax	37.14	No	Focal Loss for Dense Object Detection	2017-08-07	Code
11	HM-Softmax	36.75	No	Training Region-based Object Detectors with Onli...	2016-04-12	Code
12	HM-Softmax	34.46	No	Training Region-based Object Detectors with Onli...	2016-04-12	Code

#1SV-AM-SoftmaxSOTA
73.56
Accuracy· 2018-12-29
Support Vector Guided Softmax Loss for Face Recognition Code
#2SV-AM-Softmax
72.71
Accuracy· 2018-12-29
Support Vector Guided Softmax Loss for Face Recognition Code
#3AM-SoftmaxSOTA
61.8
Accuracy· 2018-01-17
Additive Margin Softmax for Face Verification Code
#4AM-Softmax
61.61
Accuracy· 2018-01-17
Additive Margin Softmax for Face Verification Code
#5Arc-Softmax
57.48
Accuracy· 2018-01-23
ArcFace: Additive Angular Margin Loss for Deep Face Recognition Code
#6Arc-Softmax
57.45
Accuracy· 2018-01-23
ArcFace: Additive Angular Margin Loss for Deep Face Recognition Code
#7A-SoftmaxSOTA
43.89
Accuracy· 2017-04-26
SphereFace: Deep Hypersphere Embedding for Face Recognition Code
#8A-Softmax
43.76
Accuracy· 2017-04-26
SphereFace: Deep Hypersphere Embedding for Face Recognition Code
#9F-Softmax
39.8
Accuracy· 2017-08-07
Focal Loss for Dense Object Detection Code
#10F-Softmax
37.14
Accuracy· 2017-08-07
Focal Loss for Dense Object Detection Code
#11HM-SoftmaxSOTA
36.75
Accuracy· 2016-04-12
Training Region-based Object Detectors with Online Hard Example Mining Code
#12HM-Softmax
34.46
Accuracy· 2016-04-12
Training Region-based Object Detectors with Online Hard Example Mining Code