Face Recognition on AgeDB-30

Metric: Accuracy (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Accuracy▼	Augmentations	Paper	Date↕	Code
1	USynthFace	71.62	No	Unsupervised Face Recognition using Unlabeled Sy...	2022-11-14	Code
2	Prodpoly	0.98467	No	Deep Polynomial Neural Networks	2020-06-20	Code
3	ElasticFace-Cos	0.9835	No	ElasticFace: Elastic Margin Loss for Deep Face R...	2021-09-20	Code
4	Transformer loss+ArcFace ResNet100	0.9831	No	Transformer-Based Auxiliary Loss for Face Recogn...	2024-12-03	-
5	DCQ	0.9823	No	Dynamic Class Queue for Large Scale Face Recogni...	2021-05-24	Code
6	EdgeFace - S (g=0.5)	0.9693	No	EdgeFace: Efficient Face Recognition Model for E...	2023-07-04	Code
7	Seesaw-shuffleFaceNet(mobi)	0.9648	No	SeesawFaceNets: sparse and robust face verificat...	2019-08-24	Code
8	PocketNetS	0.9635	No	PocketNet: Extreme Lightweight Face Recognition ...	2021-08-24	Code
9	EdgeFace - XS (g=0.6)	0.96	No	EdgeFace: Efficient Face Recognition Model for E...	2023-07-04	Code
10	SynthDistill	0.9493	No	SynthDistill: Face Recognition with Knowledge Di...	2023-08-28	Code
11	MobileFaceNet	0.9305	No	MobileFaceNets: Efficient CNNs for Accurate Real...	2018-04-20	Code
12	IDiff-Face	0.8643	No	IDiff-Face: Synthetic-based Face Recognition thr...	2023-08-09	Code
13	DigiFace-1M	0.811	No	DigiFace-1M: 1 Million Digital Face Images for F...	2022-10-05	Code