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المنصة
الرئيسية
SOTA
تصنيف العمر والجنس
Age And Gender Classification On Adience Age
Age And Gender Classification On Adience Age
المقاييس
Accuracy (5-fold)
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Accuracy (5-fold)
Paper Title
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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