SOTAVerified

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

Showing 110 of 34 papers

TitleStatusHype
BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media TextsCode0
A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images0
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender EstimationCode3
MiVOLO: Multi-input Transformer for Age and Gender EstimationCode2
Moving Window Regression: A Novel Approach to Ordinal RegressionCode1
Age and Gender Classification with Small Scale CNN0
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI ModellingCode1
Generalizing MLPs With Dropouts, Batch Normalization, and Skip ConnectionsCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
Towards Measuring Fairness in AI: the Casual Conversations Dataset0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViT-hSeqAccuracy (5-fold)84.91Unverified
2MiVOLO-V2Accuracy (5-fold)69.43Unverified
3MiVOLO-D1Accuracy (5-fold)68.69Unverified
4AL-ResNets-34 + IMDB-WIKIAccuracy (5-fold)67.47Unverified
5R-SAAFc2 +IMDB-WIKIAccuracy (5-fold)67.3Unverified
6RoR-34 + IMDB-WIKIAccuracy (5-fold)66.74Unverified
7MWRAccuracy (5-fold)62.6Unverified
8UNIORD-ResNet-101 (single crop, pytorch)Accuracy (5-fold)61Unverified
9RetinaFace + ArcFace + MLP + IC + Skip connectionsAccuracy (5-fold)60.86Unverified
10CPG (single crop, pytorch)Accuracy (5-fold)57.66Unverified