3D Face Modelling on CelebA+masks

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	Fine-tuned ArcFace	95.43	No	A realistic approach to generate masked faces ap...	2021-09-03	Code
2	Fine-tuned FaceNet	93.58	No	A realistic approach to generate masked faces ap...	2021-09-03	Code
3	ArcFace	91.78	No	ArcFace: Additive Angular Margin Loss for Deep F...	2018-01-23	Code
4	Fine-tuned VGG-Face	91.51	No	A realistic approach to generate masked faces ap...	2021-09-03	Code
5	FaceNet	90.96	No	FaceNet: A Unified Embedding for Face Recognitio...	2015-03-12	Code
6	VGG-Face	84.56	No	-	-	Code

#1Fine-tuned ArcFaceSOTA
95.43
Accuracy· 2021-09-03
A realistic approach to generate masked faces applied on two novel masked face recognition data sets Code
#2Fine-tuned FaceNet
93.58
Accuracy· 2021-09-03
A realistic approach to generate masked faces applied on two novel masked face recognition data sets Code
#3ArcFaceSOTA
91.78
Accuracy· 2018-01-23
ArcFace: Additive Angular Margin Loss for Deep Face Recognition Code
#4Fine-tuned VGG-Face
91.51
Accuracy· 2021-09-03
A realistic approach to generate masked faces applied on two novel masked face recognition data sets Code
#5FaceNetSOTA
90.96
Accuracy· 2015-03-12
FaceNet: A Unified Embedding for Face Recognition and Clustering Code
#6VGG-Face
84.56
Accuracy
No paperCode