Face Reconstruction on CPLFW

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	DiscFace	93.37	No	-	-	-
2	GhostFaceNetV2-1	0.9465	No	-	-	Code
3	ElasticFace-Arc	0.9327	No	ElasticFace: Elastic Margin Loss for Deep Face R...	2021-09-20	Code
4	EdgeFace - S (g=0.5)	0.9256	No	EdgeFace: Efficient Face Recognition Model for E...	2023-07-04	Code
5	EdgeFace - XS (g=0.6)	0.9182	No	EdgeFace: Efficient Face Recognition Model for E...	2023-07-04	Code
6	PocketNetS	0.8893	No	PocketNet: Extreme Lightweight Face Recognition ...	2021-08-24	Code
7	SynthDistill	0.87	No	SynthDistill: Face Recognition with Knowledge Di...	2023-08-28	Code
8	DigiFace-1M	0.8223	No	DigiFace-1M: 1 Million Digital Face Images for F...	2022-10-05	Code
9	IDiff-Face	0.8045	No	IDiff-Face: Synthetic-based Face Recognition thr...	2023-08-09	Code

#1DiscFace
93.37
Accuracy
No paper
#2GhostFaceNetV2-1
0.9465
Accuracy
No paperCode
#3ElasticFace-ArcSOTA
0.9327
Accuracy· 2021-09-20
ElasticFace: Elastic Margin Loss for Deep Face Recognition Code
#4EdgeFace - S (g=0.5)
0.9256
Accuracy· 2023-07-04
EdgeFace: Efficient Face Recognition Model for Edge Devices Code
#5EdgeFace - XS (g=0.6)
0.9182
Accuracy· 2023-07-04
EdgeFace: Efficient Face Recognition Model for Edge Devices Code
#6PocketNetSSOTA
0.8893
Accuracy· 2021-08-24
PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation Code
#7SynthDistill
0.87
Accuracy· 2023-08-28
SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data Code
#8DigiFace-1M
0.8223
Accuracy· 2022-10-05
DigiFace-1M: 1 Million Digital Face Images for Face Recognition Code
#9IDiff-Face
0.8045
Accuracy· 2023-08-09
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models Code