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Age And Gender Classification

Age and gender classification is a dual-task of identifying the age and gender of a person from an image or video.

( Image credit: Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 21–30 of 34 papers

Title	Date	Tasks	Status	Hype	Score
Age and Gender Classification with Small Scale CNN	Feb 28, 2022	Age And Gender ClassificationClassification	—Unverified	0	0
Age Group and Gender Estimation in the Wild with Deep RoR Architecture	Oct 9, 2017	Age And Gender ClassificationAge and Gender Estimation	—Unverified	0	0
A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images	Mar 19, 2024	Age And Gender ClassificationClassification	—Unverified	0	0
ConvNets with Smooth Adaptive Activation Functions for Regression	Jan 1, 2017	Age And Gender ClassificationPose Estimation	—Unverified	0	0
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities	Nov 15, 2020	Age And Gender Classificationregression	—Unverified	0	0
Fine-Grained Age Estimation in the wild with Attention LSTM Networks	May 26, 2018	Age And Gender ClassificationAge Estimation	—Unverified	0	0
How to Train Your Deep Neural Network with Dictionary Learning	Dec 22, 2016	Age And Gender ClassificationDecoder	—Unverified	0	0
How Transferable are CNN-based Features for Age and Gender Classification?	Oct 1, 2016	Age And Gender ClassificationClassification	—Unverified	0	0
Local Deep Neural Networks for Age and Gender Classification	Mar 24, 2017	Age And Gender ClassificationAge Classification	—Unverified	0	0
Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks	Sep 6, 2018	Age And Gender ClassificationAge Estimation	—Unverified	0	0

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All datasets Adience Age Adience Gender BN-AuthProf

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ViT-hSeq	Accuracy (5-fold)	84.91	—	Unverified
2	MiVOLO-V2	Accuracy (5-fold)	69.43	—	Unverified
3	MiVOLO-D1	Accuracy (5-fold)	68.69	—	Unverified
4	AL-ResNets-34 + IMDB-WIKI	Accuracy (5-fold)	67.47	—	Unverified
5	R-SAAFc2 +IMDB-WIKI	Accuracy (5-fold)	67.3	—	Unverified
6	RoR-34 + IMDB-WIKI	Accuracy (5-fold)	66.74	—	Unverified
7	MWR	Accuracy (5-fold)	62.6	—	Unverified
8	UNIORD-ResNet-101 (single crop, pytorch)	Accuracy (5-fold)	61	—	Unverified
9	RetinaFace + ArcFace + MLP + IC + Skip connections	Accuracy (5-fold)	60.86	—	Unverified
10	CPG (single crop, pytorch)	Accuracy (5-fold)	57.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MiVOLO-V2	Accuracy (5-fold)	97.39	—	Unverified
2	ViT-hSeq	Accuracy (5-fold)	96.56	—	Unverified
3	MiVOLO-D1	Accuracy (5-fold)	96.51	—	Unverified
4	RetinaFace + ArcFace + MLP + Skip connections	Accuracy (5-fold)	90.66	—	Unverified
5	CPG (single crop, pytorch)	Accuracy (5-fold)	89.66	—	Unverified
6	PAENet (single crop, tensorflow)	Accuracy (5-fold)	89.08	—	Unverified
7	Levi_Hassner CNN ( over-sample, caffe)	Accuracy (5-fold)	86.8	—	Unverified
8	Levi_Hassner CNN (single crop, caffe)	Accuracy (5-fold)	85.9	—	Unverified
9	LMTCNN-2-1 (single crop, tensorflow)	Accuracy (5-fold)	85.16	—	Unverified
10	Levi_Hassner CNN (single crop, tensorflow)	Accuracy (5-fold)	82.52	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multinomial Naive Bayes (MNB)	F1 score	0.91	—	Unverified