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Age And Gender Classification On Adience Age

Metrics

Accuracy (5-fold)

Results

Performance results of various models on this benchmark

		Paper Title	Repository
ViT-hSeq	84.91	A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images	-
MiVOLO-V2	69.43	Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
MiVOLO-D1	68.69	MiVOLO: Multi-input Transformer for Age and Gender Estimation
AL-ResNets-34 + IMDB-WIKI	67.47	Fine-Grained Age Estimation in the wild with Attention LSTM Networks	-
R-SAAFc2 +IMDB-WIKI	67.3	ConvNets with Smooth Adaptive Activation Functions for Regression	-
RoR-34 + IMDB-WIKI	66.74	Age Group and Gender Estimation in the Wild with Deep RoR Architecture	-
MWR	62.6	Moving Window Regression: A Novel Approach to Ordinal Regression
UNIORD-ResNet-101 (single crop, pytorch)	61	Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities	-
RetinaFace + ArcFace + MLP + IC + Skip connections	60.86	Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections
CPG (single crop, pytorch)	57.66	Compacting, Picking and Growing for Unforgetting Continual Learning
PAENet (single crop, tensorflow)	57.3	Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning	-
MegaAge	56.01	Quantifying Facial Age by Posterior of Age Comparisons
Levi_Hassner CNN (over-sample, caffe)	50.7	Age and Gender Classification using Convolutional Neural Networks	-
Levi_Hassner CNN (single crop, caffe)	49.5	Age and Gender Classification using Convolutional Neural Networks	-
LMTCNN-2-1 (single crop, tensorflow)	44.26	Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications
Levi_Hassner CNN (single crop, tensorflow)	44.14	Age and Gender Classification using Convolutional Neural Networks	-

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Age And Gender Classification On Adience Age | SOTA | HyperAI