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SotA/Music/Facial Recognition and Modelling/Adience Gender

Facial Recognition and Modelling on Adience Gender

Metric: Accuracy (5-fold) (higher is better)

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#Model↕Accuracy (5-fold)▼Extra DataPaperDate↕Code
1MiVOLO-V297.39YesBeyond Specialization: Assessing the Capabilitie...2024-03-04Code
2ViT-hSeq96.56NoA Hybrid Transformer-Sequencer approach for Age ...2024-03-19-
3MiVOLO-D196.51YesMiVOLO: Multi-input Transformer for Age and Gend...2023-07-10Code
4RetinaFace + ArcFace + MLP + Skip connections90.66YesGeneralizing MLPs With Dropouts, Batch Normaliza...2021-08-18Code
5CPG (single crop, pytorch)89.66YesCompacting, Picking and Growing for Unforgetting...2019-10-15Code
6PAENet (single crop, tensorflow)89.08Yes--Code
7Levi_Hassner CNN ( over-sample, caffe)86.8No--Code
8Levi_Hassner CNN (single crop, caffe)85.9No--Code
9LMTCNN-2-1 (single crop, tensorflow)85.16NoJoint Estimation of Age and Gender from Unconstr...2018-06-06Code
10Levi_Hassner CNN (single crop, tensorflow)82.52No--Code